#Link to YouTube Presentation: https://youtu.be/GTze_LtqRXQ
#Hello and thank you for providing the opportunity to provide my insight on this challenge that the company is facing. We will walk through the data set that was provided, look at some of the variables, build a classification model tha twill tell us the liklihood of an employee leaving, and finally, we will use linear regression to predict th monthly income of a set of employees.
#Upload data and take first look
#File Upload
work=read.csv("C:/Users/seans/Desktop/DDS/Unit 14 and 15 Case Study 2/CaseStudy2-data.csv", header=TRUE, sep=",", stringsAsFactors = TRUE)
saveRDS(work, file ="work.Rds")
readRDS(work, file ="work.Rds")
## ID Age Attrition BusinessTravel DailyRate Department
## 1 1 32 No Travel_Rarely 117 Sales
## 2 2 40 No Travel_Rarely 1308 Research & Development
## 3 3 35 No Travel_Frequently 200 Research & Development
## 4 4 32 No Travel_Rarely 801 Sales
## 5 5 24 No Travel_Frequently 567 Research & Development
## 6 6 27 No Travel_Frequently 294 Research & Development
## 7 7 41 No Travel_Rarely 1283 Research & Development
## 8 8 37 No Travel_Rarely 309 Sales
## 9 9 34 No Travel_Rarely 1333 Sales
## 10 10 34 No Travel_Frequently 653 Research & Development
## 11 11 43 No Travel_Rarely 823 Research & Development
## 12 12 28 No Non-Travel 280 Human Resources
## 13 13 35 No Travel_Rarely 950 Research & Development
## 14 14 30 No Travel_Rarely 202 Sales
## 15 15 46 No Travel_Rarely 991 Human Resources
## 16 16 31 No Non-Travel 1188 Sales
## 17 17 32 No Travel_Rarely 498 Research & Development
## 18 18 46 No Non-Travel 1144 Research & Development
## 19 19 34 No Travel_Rarely 181 Research & Development
## 20 20 44 No Travel_Rarely 170 Research & Development
## 21 21 36 No Travel_Rarely 913 Research & Development
## 22 22 48 No Travel_Rarely 817 Sales
## 23 23 43 No Travel_Frequently 1001 Research & Development
## 24 24 31 No Travel_Frequently 715 Sales
## 25 25 33 No Travel_Rarely 1069 Research & Development
## 26 26 44 No Travel_Rarely 1099 Sales
## 27 27 38 No Travel_Rarely 1245 Sales
## 28 28 33 Yes Travel_Rarely 603 Sales
## 29 29 53 Yes Travel_Rarely 1168 Sales
## 30 30 52 No Non-Travel 715 Research & Development
## 31 31 32 No Travel_Frequently 689 Sales
## 32 32 33 No Travel_Rarely 267 Research & Development
## 33 33 46 No Travel_Rarely 488 Sales
## 34 34 35 No Travel_Rarely 982 Research & Development
## 35 35 32 No Travel_Rarely 1373 Research & Development
## 36 36 32 No Travel_Frequently 1311 Research & Development
## 37 37 35 Yes Travel_Rarely 737 Sales
## 38 38 36 Yes Travel_Rarely 1456 Sales
## 39 39 56 No Travel_Rarely 206 Human Resources
## 40 40 31 No Travel_Frequently 793 Sales
## 41 41 58 No Non-Travel 350 Sales
## 42 42 45 No Travel_Rarely 954 Sales
## 43 43 49 No Travel_Rarely 464 Research & Development
## 44 44 42 No Travel_Rarely 1059 Research & Development
## 45 45 23 No Travel_Rarely 373 Research & Development
## 46 46 42 No Travel_Frequently 748 Research & Development
## 47 47 32 Yes Travel_Rarely 964 Sales
## 48 48 38 No Travel_Rarely 770 Sales
## 49 49 18 Yes Travel_Frequently 1306 Sales
## 50 50 27 No Non-Travel 691 Research & Development
## 51 51 38 No Travel_Rarely 362 Research & Development
## 52 52 58 No Travel_Rarely 1055 Research & Development
## 53 53 44 No Travel_Rarely 1117 Research & Development
## 54 54 45 No Non-Travel 805 Research & Development
## 55 55 31 No Travel_Rarely 746 Research & Development
## 56 56 41 No Travel_Rarely 548 Research & Development
## 57 57 42 Yes Travel_Frequently 933 Research & Development
## 58 58 29 No Travel_Rarely 1370 Research & Development
## 59 59 37 No Non-Travel 728 Research & Development
## 60 60 25 Yes Travel_Frequently 599 Sales
## 61 61 36 Yes Travel_Rarely 530 Sales
## 62 62 36 No Travel_Rarely 325 Research & Development
## 63 63 31 No Travel_Rarely 1154 Sales
## 64 64 18 No Non-Travel 1431 Research & Development
## 65 65 24 Yes Travel_Rarely 984 Research & Development
## 66 66 32 No Travel_Rarely 334 Research & Development
## 67 67 35 No Travel_Rarely 1017 Research & Development
## 68 68 23 No Travel_Rarely 571 Research & Development
## 69 69 35 No Travel_Frequently 664 Research & Development
## 70 70 37 No Travel_Rarely 1372 Research & Development
## 71 71 41 No Travel_Rarely 642 Research & Development
## 72 72 28 No Travel_Rarely 866 Sales
## 73 73 35 Yes Travel_Rarely 556 Research & Development
## 74 74 41 No Travel_Rarely 167 Research & Development
## 75 75 52 Yes Travel_Rarely 1030 Sales
## 76 76 30 No Travel_Frequently 721 Research & Development
## 77 77 34 No Travel_Rarely 971 Sales
## 78 78 46 No Travel_Rarely 563 Sales
## 79 79 45 No Non-Travel 1052 Sales
## 80 80 31 No Travel_Rarely 1276 Research & Development
## 81 81 37 Yes Travel_Rarely 1141 Research & Development
## 82 82 35 No Travel_Rarely 1370 Research & Development
## 83 83 38 No Travel_Frequently 508 Research & Development
## 84 84 37 No Travel_Rarely 1319 Research & Development
## 85 85 36 No Travel_Rarely 429 Research & Development
## 86 86 59 No Travel_Rarely 715 Research & Development
## 87 87 47 No Travel_Rarely 703 Sales
## 88 88 35 Yes Travel_Rarely 622 Research & Development
## 89 89 27 No Travel_Frequently 994 Sales
## 90 90 46 No Travel_Rarely 705 Sales
## 91 91 38 No Travel_Frequently 1490 Research & Development
## 92 92 29 Yes Travel_Rarely 408 Sales
## 93 93 37 Yes Travel_Rarely 1373 Research & Development
## 94 94 35 No Travel_Rarely 670 Research & Development
## 95 95 50 No Travel_Rarely 1452 Research & Development
## 96 96 42 No Travel_Rarely 635 Sales
## 97 97 46 No Travel_Rarely 228 Sales
## 98 98 37 No Non-Travel 1040 Research & Development
## 99 99 29 No Travel_Frequently 410 Research & Development
## 100 100 34 No Travel_Rarely 401 Research & Development
## 101 101 27 No Travel_Rarely 1377 Research & Development
## 102 102 31 No Travel_Rarely 326 Sales
## 103 103 34 No Non-Travel 1381 Sales
## 104 104 23 No Travel_Rarely 885 Research & Development
## 105 105 53 No Travel_Rarely 447 Research & Development
## 106 106 26 No Travel_Rarely 1384 Research & Development
## 107 107 29 No Non-Travel 1496 Research & Development
## 108 108 55 No Travel_Rarely 189 Human Resources
## 109 109 46 Yes Travel_Rarely 261 Research & Development
## 110 110 32 No Travel_Rarely 529 Research & Development
## 111 111 28 No Travel_Frequently 773 Research & Development
## 112 112 52 No Travel_Rarely 1053 Research & Development
## 113 113 52 No Travel_Rarely 994 Research & Development
## 114 114 35 No Non-Travel 1225 Research & Development
## 115 115 35 No Travel_Rarely 1361 Sales
## 116 116 37 No Non-Travel 1252 Sales
## 117 117 25 No Travel_Rarely 1356 Sales
## 118 118 29 No Travel_Rarely 1378 Research & Development
## 119 119 41 No Travel_Rarely 465 Research & Development
## 120 120 34 No Travel_Rarely 404 Research & Development
## 121 121 36 No Non-Travel 427 Research & Development
## 122 122 21 No Travel_Rarely 501 Sales
## 123 123 45 No Travel_Rarely 930 Sales
## 124 124 38 No Travel_Rarely 243 Sales
## 125 125 29 No Travel_Frequently 442 Sales
## 126 126 35 No Travel_Rarely 1224 Sales
## 127 127 32 Yes Travel_Frequently 1125 Research & Development
## 128 128 45 No Travel_Rarely 556 Research & Development
## 129 129 43 No Travel_Rarely 930 Research & Development
## 130 130 46 No Travel_Rarely 1319 Sales
## 131 131 29 No Travel_Rarely 991 Sales
## 132 132 49 No Travel_Rarely 1313 Sales
## 133 133 42 No Travel_Frequently 1368 Research & Development
## 134 134 39 No Travel_Rarely 492 Research & Development
## 135 135 43 No Travel_Frequently 559 Research & Development
## 136 136 40 No Travel_Frequently 791 Research & Development
## 137 137 29 Yes Travel_Rarely 805 Research & Development
## 138 138 54 No Travel_Rarely 1441 Research & Development
## 139 139 39 Yes Travel_Rarely 1122 Research & Development
## 140 140 37 No Travel_Rarely 1189 Sales
## 141 141 56 No Travel_Rarely 1369 Research & Development
## 142 142 58 No Travel_Rarely 848 Research & Development
## 143 143 46 No Travel_Rarely 566 Research & Development
## 144 144 37 No Travel_Rarely 228 Sales
## 145 145 40 No Travel_Rarely 1202 Research & Development
## 146 146 29 No Non-Travel 746 Sales
## 147 147 33 No Travel_Rarely 931 Research & Development
## 148 148 33 No Travel_Rarely 1242 Sales
## 149 149 24 No Travel_Rarely 477 Research & Development
## 150 150 28 No Travel_Rarely 580 Research & Development
## 151 151 31 Yes Travel_Rarely 1365 Sales
## 152 152 32 No Travel_Rarely 929 Sales
## 153 153 32 No Travel_Rarely 906 Sales
## 154 154 41 No Travel_Rarely 447 Research & Development
## 155 155 34 No Travel_Rarely 546 Research & Development
## 156 156 30 No Non-Travel 641 Sales
## 157 157 40 No Travel_Rarely 444 Sales
## 158 158 39 Yes Travel_Frequently 203 Research & Development
## 159 159 43 No Travel_Frequently 1082 Research & Development
## 160 160 42 No Travel_Frequently 458 Research & Development
## 161 161 30 No Travel_Rarely 852 Research & Development
## 162 162 28 Yes Non-Travel 1366 Research & Development
## 163 163 33 No Travel_Rarely 1216 Sales
## 164 164 42 No Travel_Rarely 916 Research & Development
## 165 165 35 No Travel_Rarely 1232 Sales
## 166 166 20 Yes Travel_Rarely 500 Sales
## 167 167 49 No Travel_Rarely 301 Research & Development
## 168 168 33 No Travel_Rarely 922 Research & Development
## 169 169 52 No Travel_Rarely 956 Research & Development
## 170 170 29 No Travel_Rarely 1107 Research & Development
## 171 171 30 No Travel_Rarely 501 Sales
## 172 172 47 No Non-Travel 1169 Research & Development
## 173 173 46 No Travel_Frequently 1034 Research & Development
## 174 174 33 No Travel_Rarely 536 Sales
## 175 175 53 No Travel_Rarely 1376 Sales
## 176 176 21 No Travel_Rarely 984 Research & Development
## 177 177 55 Yes Travel_Rarely 725 Research & Development
## 178 178 26 Yes Travel_Frequently 342 Research & Development
## 179 179 32 No Travel_Frequently 967 Sales
## 180 180 38 No Travel_Rarely 702 Sales
## 181 181 35 No Travel_Rarely 819 Research & Development
## 182 182 38 No Travel_Rarely 1009 Sales
## 183 183 43 No Travel_Frequently 957 Research & Development
## 184 184 39 No Travel_Rarely 1089 Research & Development
## 185 185 39 No Travel_Frequently 443 Research & Development
## 186 186 28 No Travel_Rarely 1158 Research & Development
## 187 187 25 No Travel_Frequently 772 Research & Development
## 188 188 47 No Travel_Rarely 1225 Sales
## 189 189 50 No Travel_Rarely 797 Research & Development
## 190 190 28 No Non-Travel 120 Sales
## 191 191 30 No Travel_Rarely 1275 Research & Development
## 192 192 31 No Travel_Frequently 1125 Sales
## 193 193 46 No Travel_Rarely 1485 Research & Development
## 194 194 48 No Travel_Rarely 163 Sales
## 195 195 26 No Travel_Rarely 683 Research & Development
## 196 196 51 No Travel_Rarely 833 Research & Development
## 197 197 51 No Travel_Rarely 432 Research & Development
## 198 198 49 No Travel_Rarely 174 Sales
## 199 199 44 No Travel_Rarely 477 Research & Development
## 200 200 24 No Travel_Rarely 823 Research & Development
## 201 201 40 Yes Non-Travel 1479 Sales
## 202 202 32 No Travel_Rarely 548 Research & Development
## 203 203 32 No Travel_Rarely 859 Research & Development
## 204 204 28 Yes Travel_Rarely 654 Research & Development
## 205 205 32 No Travel_Rarely 1401 Sales
## 206 206 44 No Travel_Rarely 661 Research & Development
## 207 207 43 Yes Travel_Rarely 1372 Sales
## 208 208 38 Yes Travel_Rarely 1180 Research & Development
## 209 209 30 No Travel_Rarely 201 Research & Development
## 210 210 41 No Travel_Rarely 802 Sales
## 211 211 41 No Travel_Rarely 582 Research & Development
## 212 212 42 No Travel_Rarely 265 Sales
## 213 213 37 No Travel_Rarely 1225 Research & Development
## 214 214 42 No Travel_Rarely 932 Research & Development
## 215 215 27 No Travel_Rarely 1115 Research & Development
## 216 216 40 No Travel_Rarely 896 Research & Development
## 217 217 38 No Travel_Rarely 1495 Research & Development
## 218 218 48 No Travel_Frequently 117 Research & Development
## 219 219 30 No Travel_Rarely 438 Research & Development
## 220 220 26 No Travel_Rarely 583 Research & Development
## 221 221 34 No Travel_Rarely 304 Sales
## 222 222 45 Yes Travel_Frequently 306 Sales
## 223 223 33 No Non-Travel 530 Sales
## 224 224 28 No Travel_Rarely 1423 Research & Development
## 225 225 38 No Travel_Rarely 1206 Research & Development
## 226 226 30 No Travel_Rarely 911 Research & Development
## 227 227 35 No Travel_Rarely 464 Research & Development
## 228 228 22 No Travel_Rarely 1136 Research & Development
## 229 229 24 No Travel_Rarely 1353 Sales
## 230 230 49 No Travel_Rarely 465 Research & Development
## 231 231 45 No Travel_Rarely 1329 Research & Development
## 232 232 35 No Travel_Rarely 890 Sales
## 233 233 47 Yes Travel_Frequently 1093 Sales
## 234 234 54 No Travel_Rarely 1147 Sales
## 235 235 43 No Travel_Frequently 394 Sales
## 236 236 37 Yes Travel_Rarely 625 Sales
## 237 237 42 No Travel_Rarely 300 Research & Development
## 238 238 32 No Travel_Rarely 646 Research & Development
## 239 239 25 No Travel_Rarely 309 Human Resources
## 240 240 50 No Travel_Rarely 813 Research & Development
## 241 241 42 No Travel_Rarely 319 Research & Development
## 242 242 45 No Travel_Frequently 364 Research & Development
## 243 243 29 No Travel_Rarely 1328 Research & Development
## 244 244 25 Yes Travel_Rarely 383 Sales
## 245 245 29 No Travel_Rarely 718 Research & Development
## 246 246 29 No Travel_Rarely 1086 Research & Development
## 247 247 31 No Travel_Rarely 1232 Research & Development
## 248 248 32 No Travel_Rarely 234 Sales
## 249 249 41 No Travel_Frequently 1200 Research & Development
## 250 250 41 No Travel_Rarely 1276 Sales
## 251 251 33 No Non-Travel 1313 Research & Development
## 252 252 36 No Non-Travel 1229 Sales
## 253 253 45 No Travel_Rarely 252 Research & Development
## 254 254 31 Yes Travel_Rarely 359 Human Resources
## 255 255 40 No Non-Travel 218 Research & Development
## 256 256 43 No Non-Travel 343 Research & Development
## 257 257 31 No Travel_Frequently 444 Sales
## 258 258 30 No Travel_Rarely 855 Sales
## 259 259 34 No Travel_Rarely 1480 Sales
## 260 260 25 No Travel_Rarely 977 Research & Development
## 261 261 31 Yes Travel_Frequently 703 Sales
## 262 262 29 Yes Travel_Rarely 224 Research & Development
## 263 263 33 Yes Travel_Rarely 813 Research & Development
## 264 264 29 No Travel_Frequently 1404 Sales
## 265 265 24 No Travel_Rarely 1127 Research & Development
## 266 266 35 No Travel_Rarely 809 Research & Development
## 267 267 34 No Travel_Frequently 829 Research & Development
## 268 268 32 Yes Travel_Rarely 1259 Research & Development
## 269 269 33 No Travel_Frequently 1303 Research & Development
## 270 270 30 No Travel_Rarely 1176 Research & Development
## 271 271 45 No Non-Travel 589 Sales
## 272 272 34 No Travel_Rarely 1130 Research & Development
## 273 273 27 No Travel_Rarely 728 Sales
## 274 274 36 No Travel_Rarely 329 Sales
## 275 275 55 No Travel_Rarely 692 Research & Development
## 276 276 56 No Travel_Rarely 718 Research & Development
## 277 277 22 No Travel_Rarely 253 Research & Development
## 278 278 43 No Travel_Frequently 185 Research & Development
## 279 279 25 Yes Travel_Rarely 240 Sales
## 280 280 55 No Travel_Rarely 1229 Research & Development
## 281 281 43 No Travel_Rarely 1179 Sales
## 282 282 41 No Travel_Rarely 263 Research & Development
## 283 283 40 No Travel_Rarely 1194 Research & Development
## 284 284 31 No Travel_Rarely 691 Sales
## 285 285 38 No Travel_Rarely 433 Human Resources
## 286 286 33 No Travel_Rarely 589 Research & Development
## 287 287 22 Yes Travel_Rarely 391 Research & Development
## 288 288 34 No Travel_Rarely 1346 Research & Development
## 289 289 36 No Travel_Frequently 1467 Sales
## 290 290 35 No Travel_Rarely 384 Sales
## 291 291 45 No Travel_Rarely 974 Research & Development
## 292 292 36 No Non-Travel 1105 Research & Development
## 293 293 27 No Travel_Rarely 894 Research & Development
## 294 294 47 No Non-Travel 1162 Research & Development
## 295 295 40 No Travel_Rarely 898 Human Resources
## 296 296 35 No Travel_Rarely 1490 Research & Development
## 297 297 34 No Travel_Frequently 1069 Research & Development
## 298 298 34 Yes Travel_Frequently 658 Research & Development
## 299 299 31 Yes Non-Travel 335 Research & Development
## 300 300 28 Yes Travel_Rarely 1157 Research & Development
## 301 301 32 No Travel_Frequently 379 Sales
## 302 302 35 No Travel_Frequently 853 Sales
## 303 303 55 No Travel_Rarely 1441 Research & Development
## 304 304 35 No Travel_Rarely 1395 Research & Development
## 305 305 58 Yes Travel_Rarely 289 Research & Development
## 306 306 24 No Non-Travel 1269 Research & Development
## 307 307 50 No Travel_Rarely 804 Research & Development
## 308 308 34 No Non-Travel 697 Research & Development
## 309 309 55 No Travel_Frequently 135 Research & Development
## 310 310 25 No Travel_Rarely 810 Sales
## 311 311 34 No Travel_Rarely 1351 Research & Development
## 312 312 40 No Travel_Rarely 302 Research & Development
## 313 313 31 Yes Travel_Frequently 561 Research & Development
## 314 314 51 No Travel_Rarely 1169 Research & Development
## 315 315 60 No Travel_Rarely 1179 Sales
## 316 316 47 No Travel_Rarely 955 Sales
## 317 317 34 No Travel_Frequently 303 Sales
## 318 318 24 No Travel_Rarely 771 Research & Development
## 319 319 39 No Travel_Rarely 1498 Sales
## 320 320 19 No Travel_Rarely 265 Research & Development
## 321 321 32 No Non-Travel 1184 Research & Development
## 322 322 34 No Travel_Rarely 1397 Research & Development
## 323 323 30 No Travel_Frequently 1012 Research & Development
## 324 324 46 No Travel_Rarely 1003 Research & Development
## 325 325 39 No Travel_Rarely 466 Research & Development
## 326 326 27 No Travel_Rarely 618 Research & Development
## 327 327 44 No Travel_Rarely 1313 Research & Development
## 328 328 42 No Travel_Rarely 557 Research & Development
## 329 329 38 No Travel_Frequently 1394 Research & Development
## 330 330 42 No Travel_Rarely 1147 Human Resources
## 331 331 49 No Travel_Rarely 809 Research & Development
## 332 332 32 Yes Travel_Rarely 1045 Sales
## 333 333 44 Yes Travel_Frequently 429 Research & Development
## 334 334 27 No Travel_Rarely 608 Research & Development
## 335 335 59 No Non-Travel 1420 Human Resources
## 336 336 33 Yes Travel_Frequently 827 Research & Development
## 337 337 35 No Travel_Frequently 1182 Sales
## 338 338 34 No Travel_Frequently 618 Research & Development
## 339 339 50 Yes Travel_Frequently 959 Sales
## 340 340 27 No Travel_Rarely 1240 Research & Development
## 341 341 36 No Travel_Rarely 852 Research & Development
## 342 342 28 No Travel_Frequently 193 Research & Development
## 343 343 33 No Travel_Rarely 654 Research & Development
## 344 344 30 No Travel_Frequently 160 Research & Development
## 345 345 30 No Travel_Rarely 1329 Sales
## 346 346 39 No Travel_Rarely 119 Sales
## 347 347 34 No Travel_Frequently 1003 Research & Development
## 348 348 26 No Travel_Frequently 1479 Research & Development
## 349 349 44 No Non-Travel 111 Research & Development
## 350 350 56 No Travel_Rarely 832 Research & Development
## 351 351 42 No Travel_Rarely 1396 Research & Development
## 352 352 31 No Travel_Rarely 218 Sales
## 353 353 40 No Travel_Frequently 902 Research & Development
## 354 354 40 No Non-Travel 1142 Research & Development
## 355 355 41 No Travel_Rarely 796 Sales
## 356 356 34 No Travel_Rarely 1326 Sales
## 357 357 26 No Travel_Rarely 841 Research & Development
## 358 358 29 Yes Travel_Rarely 408 Research & Development
## 359 359 32 No Travel_Rarely 427 Research & Development
## 360 360 36 No Travel_Rarely 1403 Research & Development
## 361 361 52 No Travel_Rarely 699 Research & Development
## 362 362 29 Yes Travel_Frequently 746 Sales
## 363 363 52 Yes Travel_Rarely 266 Sales
## 364 364 40 No Travel_Rarely 1416 Research & Development
## 365 365 55 No Travel_Rarely 282 Research & Development
## 366 366 56 No Travel_Frequently 906 Sales
## 367 367 34 No Travel_Frequently 135 Research & Development
## 368 368 40 No Travel_Rarely 1342 Sales
## 369 369 23 No Travel_Rarely 977 Research & Development
## 370 370 32 No Travel_Rarely 1018 Research & Development
## 371 371 31 No Travel_Frequently 853 Research & Development
## 372 372 30 No Non-Travel 1398 Sales
## 373 373 45 No Travel_Frequently 1249 Research & Development
## 374 374 37 No Travel_Rarely 1470 Research & Development
## 375 375 20 No Travel_Rarely 727 Sales
## 376 376 50 No Travel_Frequently 333 Research & Development
## 377 377 36 Yes Travel_Rarely 885 Research & Development
## 378 378 42 No Travel_Rarely 419 Sales
## 379 379 29 No Travel_Rarely 942 Research & Development
## 380 380 30 Yes Travel_Rarely 138 Research & Development
## 381 381 47 No Travel_Rarely 1482 Research & Development
## 382 382 26 No Travel_Rarely 1355 Human Resources
## 383 383 48 No Travel_Rarely 1221 Sales
## 384 384 23 No Travel_Rarely 541 Sales
## 385 385 51 Yes Travel_Rarely 1323 Research & Development
## 386 386 38 No Travel_Rarely 1333 Research & Development
## 387 387 35 No Travel_Frequently 944 Sales
## 388 388 29 No Travel_Rarely 232 Research & Development
## 389 389 36 No Travel_Rarely 530 Sales
## 390 390 21 Yes Travel_Frequently 756 Sales
## 391 391 34 No Travel_Rarely 1111 Sales
## 392 392 26 No Travel_Rarely 1443 Sales
## 393 393 31 No Non-Travel 976 Research & Development
## 394 394 60 No Travel_Frequently 1499 Sales
## 395 395 42 No Travel_Frequently 1271 Research & Development
## 396 396 31 No Travel_Rarely 192 Research & Development
## 397 397 46 No Travel_Rarely 1009 Research & Development
## 398 398 34 Yes Travel_Rarely 1107 Human Resources
## 399 399 56 No Non-Travel 667 Research & Development
## 400 400 44 No Travel_Frequently 1193 Research & Development
## 401 401 30 No Travel_Rarely 317 Research & Development
## 402 402 42 No Non-Travel 926 Research & Development
## 403 403 47 No Travel_Rarely 207 Research & Development
## 404 404 36 No Travel_Rarely 711 Research & Development
## 405 405 35 No Travel_Rarely 1343 Research & Development
## 406 406 43 No Travel_Rarely 782 Research & Development
## 407 407 31 No Travel_Rarely 196 Sales
## 408 408 36 No Travel_Rarely 917 Research & Development
## 409 409 53 No Travel_Rarely 1219 Sales
## 410 410 43 No Travel_Rarely 589 Research & Development
## 411 411 36 No Travel_Rarely 1278 Human Resources
## 412 412 41 No Travel_Rarely 918 Sales
## 413 413 37 No Travel_Rarely 408 Research & Development
## 414 414 32 No Travel_Frequently 1318 Sales
## 415 415 34 Yes Travel_Frequently 296 Sales
## 416 416 35 No Non-Travel 1180 Research & Development
## 417 417 30 No Non-Travel 1116 Research & Development
## 418 418 36 No Travel_Frequently 566 Research & Development
## 419 419 37 No Travel_Rarely 977 Research & Development
## 420 420 29 No Travel_Rarely 986 Research & Development
## 421 421 34 No Travel_Rarely 1153 Research & Development
## 422 422 37 No Non-Travel 1063 Research & Development
## 423 423 31 Yes Travel_Rarely 249 Sales
## 424 424 18 No Non-Travel 1124 Research & Development
## 425 425 28 No Travel_Rarely 736 Sales
## 426 426 43 No Travel_Rarely 415 Sales
## 427 427 30 No Non-Travel 990 Research & Development
## 428 428 21 No Travel_Rarely 996 Research & Development
## 429 429 32 Yes Travel_Rarely 515 Research & Development
## 430 430 34 No Travel_Rarely 470 Research & Development
## 431 431 27 No Travel_Rarely 1377 Sales
## 432 432 40 No Non-Travel 458 Research & Development
## 433 433 49 Yes Travel_Frequently 1475 Research & Development
## 434 434 29 No Travel_Rarely 590 Research & Development
## 435 435 40 No Travel_Rarely 658 Sales
## 436 436 27 No Travel_Rarely 1130 Sales
## 437 437 28 Yes Travel_Rarely 890 Research & Development
## 438 438 26 No Travel_Rarely 157 Research & Development
## 439 439 50 Yes Travel_Rarely 869 Sales
## 440 440 38 No Travel_Rarely 827 Research & Development
## 441 441 32 No Travel_Frequently 1316 Research & Development
## 442 442 29 No Travel_Rarely 1082 Research & Development
## 443 443 28 Yes Travel_Rarely 529 Research & Development
## 444 444 44 No Travel_Rarely 528 Human Resources
## 445 445 46 No Travel_Rarely 734 Research & Development
## 446 446 47 No Travel_Rarely 465 Research & Development
## 447 447 38 No Travel_Frequently 1189 Research & Development
## 448 448 42 No Travel_Rarely 1128 Research & Development
## 449 449 38 No Travel_Frequently 653 Research & Development
## 450 450 45 No Non-Travel 336 Sales
## 451 451 33 No Travel_Rarely 501 Research & Development
## 452 452 44 No Travel_Rarely 1467 Research & Development
## 453 453 35 Yes Travel_Rarely 303 Sales
## 454 454 33 No Travel_Rarely 217 Sales
## 455 455 48 No Travel_Rarely 1236 Research & Development
## 456 456 40 No Travel_Rarely 611 Sales
## 457 457 31 No Travel_Rarely 1112 Sales
## 458 458 51 No Travel_Rarely 632 Sales
## 459 459 56 No Travel_Rarely 1255 Research & Development
## 460 460 36 No Travel_Rarely 172 Research & Development
## 461 461 42 No Travel_Frequently 1474 Research & Development
## 462 462 36 No Travel_Rarely 311 Research & Development
## 463 463 50 No Travel_Frequently 809 Sales
## 464 464 31 No Travel_Frequently 163 Research & Development
## 465 465 43 Yes Travel_Frequently 807 Research & Development
## 466 466 38 No Travel_Rarely 371 Research & Development
## 467 467 36 No Travel_Rarely 1157 Sales
## 468 468 36 No Travel_Rarely 132 Research & Development
## 469 469 26 Yes Non-Travel 265 Sales
## 470 470 53 No Travel_Rarely 1084 Research & Development
## 471 471 27 No Travel_Rarely 1354 Research & Development
## 472 472 29 Yes Travel_Frequently 459 Research & Development
## 473 473 45 No Travel_Rarely 193 Research & Development
## 474 474 45 No Travel_Rarely 1316 Research & Development
## 475 475 28 No Travel_Rarely 895 Research & Development
## 476 476 46 No Travel_Frequently 1211 Sales
## 477 477 37 No Travel_Rarely 342 Sales
## 478 478 26 No Travel_Rarely 775 Sales
## 479 479 52 No Travel_Rarely 258 Research & Development
## 480 480 37 No Travel_Rarely 161 Research & Development
## 481 481 29 No Travel_Rarely 136 Research & Development
## 482 482 31 No Travel_Rarely 1222 Research & Development
## 483 483 34 No Travel_Frequently 735 Research & Development
## 484 484 56 No Travel_Rarely 713 Research & Development
## 485 485 58 Yes Travel_Rarely 147 Research & Development
## 486 486 41 Yes Travel_Rarely 1102 Sales
## 487 487 30 Yes Travel_Rarely 945 Sales
## 488 488 31 No Travel_Rarely 670 Research & Development
## 489 489 48 Yes Travel_Rarely 626 Research & Development
## 490 490 34 No Travel_Rarely 970 Research & Development
## 491 491 49 No Travel_Frequently 636 Research & Development
## 492 492 50 No Travel_Rarely 1322 Research & Development
## 493 493 29 No Travel_Rarely 469 Sales
## 494 494 35 No Travel_Rarely 1029 Research & Development
## 495 495 36 No Travel_Rarely 1266 Sales
## 496 496 51 No Travel_Rarely 1318 Sales
## 497 497 45 No Travel_Rarely 192 Research & Development
## 498 498 37 No Travel_Frequently 889 Research & Development
## 499 499 36 No Travel_Rarely 1299 Research & Development
## 500 500 39 No Non-Travel 1251 Sales
## 501 501 58 Yes Travel_Rarely 601 Research & Development
## 502 502 28 Yes Travel_Rarely 103 Research & Development
## 503 503 48 Yes Travel_Frequently 708 Sales
## 504 504 29 No Travel_Rarely 1389 Research & Development
## 505 505 47 No Travel_Rarely 359 Research & Development
## 506 506 32 No Travel_Rarely 824 Research & Development
## 507 507 33 Yes Travel_Rarely 350 Sales
## 508 508 51 No Travel_Frequently 541 Sales
## 509 509 37 No Travel_Frequently 319 Sales
## 510 510 41 Yes Travel_Rarely 1360 Research & Development
## 511 511 38 No Travel_Rarely 345 Sales
## 512 512 39 No Non-Travel 1485 Research & Development
## 513 513 32 No Travel_Frequently 585 Research & Development
## 514 514 33 No Travel_Frequently 515 Research & Development
## 515 515 21 No Non-Travel 895 Sales
## 516 516 51 No Travel_Rarely 1302 Research & Development
## 517 517 25 Yes Travel_Rarely 867 Sales
## 518 518 42 No Travel_Rarely 855 Research & Development
## 519 519 30 No Travel_Rarely 1138 Research & Development
## 520 520 56 Yes Travel_Rarely 1162 Research & Development
## 521 521 34 No Travel_Frequently 702 Research & Development
## 522 522 28 Yes Travel_Rarely 329 Research & Development
## 523 523 45 No Travel_Rarely 1339 Research & Development
## 524 524 49 No Travel_Rarely 1245 Research & Development
## 525 525 59 No Travel_Rarely 142 Research & Development
## 526 526 53 No Travel_Frequently 124 Sales
## 527 527 45 No Travel_Rarely 1268 Sales
## 528 528 31 No Travel_Rarely 1332 Research & Development
## 529 529 35 No Travel_Rarely 1214 Research & Development
## 530 530 56 Yes Travel_Rarely 441 Research & Development
## 531 531 38 No Travel_Rarely 330 Research & Development
## 532 532 36 No Travel_Rarely 884 Sales
## 533 533 29 No Travel_Rarely 1252 Research & Development
## 534 534 32 No Non-Travel 1146 Research & Development
## 535 535 29 Yes Travel_Rarely 318 Research & Development
## 536 536 43 No Non-Travel 1344 Research & Development
## 537 537 38 No Travel_Rarely 130 Sales
## 538 538 42 No Travel_Rarely 544 Human Resources
## 539 539 24 Yes Travel_Rarely 1448 Sales
## 540 540 42 No Travel_Rarely 647 Sales
## 541 541 30 No Travel_Rarely 853 Research & Development
## 542 542 33 No Travel_Rarely 867 Research & Development
## 543 543 27 No Non-Travel 1450 Research & Development
## 544 544 38 No Travel_Rarely 1261 Research & Development
## 545 545 34 No Travel_Rarely 121 Research & Development
## 546 546 34 No Travel_Rarely 678 Research & Development
## 547 547 49 No Travel_Rarely 527 Research & Development
## 548 548 40 No Travel_Frequently 720 Research & Development
## 549 549 38 No Travel_Rarely 849 Research & Development
## 550 550 45 No Travel_Rarely 788 Human Resources
## 551 551 41 No Travel_Rarely 314 Human Resources
## 552 552 28 No Travel_Rarely 1169 Human Resources
## 553 553 36 No Travel_Frequently 1213 Human Resources
## 554 554 48 No Travel_Rarely 1469 Research & Development
## 555 555 40 No Non-Travel 1151 Research & Development
## 556 556 37 No Travel_Rarely 558 Sales
## 557 557 54 No Travel_Rarely 548 Research & Development
## 558 558 34 No Travel_Rarely 254 Research & Development
## 559 559 42 No Travel_Rarely 933 Research & Development
## 560 560 26 No Travel_Rarely 933 Sales
## 561 561 36 No Travel_Frequently 1480 Research & Development
## 562 562 58 No Travel_Frequently 1216 Research & Development
## 563 563 27 No Travel_Rarely 1134 Research & Development
## 564 564 31 No Non-Travel 697 Research & Development
## 565 565 30 No Travel_Rarely 921 Research & Development
## 566 566 44 No Travel_Rarely 1037 Research & Development
## 567 567 32 No Travel_Rarely 128 Research & Development
## 568 568 30 Yes Travel_Rarely 740 Sales
## 569 569 42 No Travel_Rarely 462 Sales
## 570 570 50 No Travel_Rarely 939 Research & Development
## 571 571 41 No Travel_Rarely 337 Sales
## 572 572 21 Yes Travel_Rarely 1427 Research & Development
## 573 573 28 No Travel_Frequently 783 Sales
## 574 574 34 No Travel_Rarely 810 Sales
## 575 575 26 No Travel_Rarely 703 Sales
## 576 576 37 No Travel_Rarely 1115 Research & Development
## 577 577 38 No Travel_Rarely 1404 Sales
## 578 578 44 No Non-Travel 981 Research & Development
## 579 579 39 No Travel_Frequently 711 Research & Development
## 580 580 29 No Travel_Rarely 1329 Research & Development
## 581 581 25 No Travel_Rarely 882 Research & Development
## 582 582 42 No Travel_Rarely 810 Research & Development
## 583 583 38 No Travel_Rarely 833 Research & Development
## 584 584 28 No Travel_Rarely 760 Sales
## 585 585 44 No Travel_Rarely 1459 Research & Development
## 586 586 40 No Travel_Rarely 905 Research & Development
## 587 587 38 No Non-Travel 573 Research & Development
## 588 588 36 Yes Travel_Rarely 1218 Sales
## 589 589 37 No Travel_Rarely 1462 Research & Development
## 590 590 35 No Travel_Rarely 1142 Research & Development
## 591 591 22 No Non-Travel 457 Research & Development
## 592 592 34 Yes Travel_Rarely 790 Sales
## 593 593 28 Yes Travel_Frequently 1496 Sales
## 594 594 49 No Travel_Rarely 722 Research & Development
## 595 595 40 No Travel_Rarely 884 Research & Development
## 596 596 33 No Travel_Rarely 586 Sales
## 597 597 35 No Travel_Rarely 672 Research & Development
## 598 598 40 No Travel_Rarely 555 Research & Development
## 599 599 27 No Travel_Rarely 155 Research & Development
## 600 600 24 Yes Travel_Rarely 813 Research & Development
## 601 601 24 No Non-Travel 830 Sales
## 602 602 32 No Non-Travel 1200 Research & Development
## 603 603 30 No Travel_Rarely 153 Research & Development
## 604 604 29 No Travel_Rarely 1401 Research & Development
## 605 605 29 Yes Travel_Rarely 428 Sales
## 606 606 53 No Travel_Rarely 970 Research & Development
## 607 607 59 No Travel_Frequently 1225 Sales
## 608 608 38 No Travel_Rarely 322 Sales
## 609 609 26 No Travel_Rarely 652 Research & Development
## 610 610 33 No Non-Travel 1038 Sales
## 611 611 35 No Travel_Rarely 817 Research & Development
## 612 612 41 No Non-Travel 509 Research & Development
## 613 613 33 Yes Travel_Rarely 465 Research & Development
## 614 614 19 Yes Travel_Rarely 419 Sales
## 615 615 30 No Travel_Rarely 231 Sales
## 616 616 34 No Travel_Rarely 1157 Research & Development
## 617 617 33 No Travel_Rarely 1099 Research & Development
## 618 618 44 No Travel_Rarely 1488 Sales
## 619 619 39 No Travel_Rarely 613 Research & Development
## 620 620 35 No Non-Travel 727 Research & Development
## 621 621 20 Yes Travel_Frequently 871 Research & Development
## 622 622 47 No Travel_Frequently 1379 Research & Development
## 623 623 34 No Travel_Rarely 182 Research & Development
## 624 624 35 No Travel_Rarely 1146 Human Resources
## 625 625 28 Yes Travel_Frequently 289 Research & Development
## 626 626 27 No Travel_Rarely 1167 Research & Development
## 627 627 24 No Travel_Rarely 1476 Sales
## 628 628 38 No Travel_Rarely 343 Research & Development
## 629 629 55 No Travel_Frequently 1091 Research & Development
## 630 630 34 No Travel_Rarely 1442 Research & Development
## 631 631 55 No Travel_Rarely 836 Research & Development
## 632 632 34 No Travel_Rarely 937 Sales
## 633 633 38 No Travel_Rarely 1035 Sales
## 634 634 36 No Travel_Rarely 922 Research & Development
## 635 635 43 No Travel_Rarely 1001 Research & Development
## 636 636 35 No Travel_Frequently 636 Research & Development
## 637 637 42 No Travel_Rarely 469 Research & Development
## 638 638 34 No Travel_Rarely 1239 Sales
## 639 639 24 No Travel_Rarely 691 Research & Development
## 640 640 27 Yes Travel_Rarely 1420 Sales
## 641 641 30 No Travel_Rarely 1358 Research & Development
## 642 642 40 No Travel_Rarely 750 Research & Development
## 643 643 55 No Non-Travel 444 Research & Development
## 644 644 34 Yes Non-Travel 967 Research & Development
## 645 645 41 Yes Non-Travel 906 Research & Development
## 646 646 40 No Travel_Rarely 630 Sales
## 647 647 18 Yes Non-Travel 247 Research & Development
## 648 648 26 No Travel_Rarely 390 Research & Development
## 649 649 35 No Travel_Rarely 776 Sales
## 650 650 40 Yes Travel_Rarely 1329 Research & Development
## 651 651 35 No Travel_Rarely 992 Research & Development
## 652 652 60 No Travel_Rarely 696 Sales
## 653 653 40 No Travel_Frequently 593 Research & Development
## 654 654 48 No Travel_Rarely 530 Sales
## 655 655 22 Yes Travel_Frequently 1368 Research & Development
## 656 656 26 No Travel_Frequently 496 Research & Development
## 657 657 51 No Travel_Rarely 1469 Research & Development
## 658 658 54 No Travel_Frequently 1050 Research & Development
## 659 659 41 No Travel_Rarely 483 Research & Development
## 660 660 36 No Travel_Frequently 1195 Research & Development
## 661 661 32 No Travel_Frequently 430 Research & Development
## 662 662 34 No Travel_Rarely 1303 Research & Development
## 663 663 46 No Travel_Rarely 1277 Sales
## 664 664 35 No Travel_Rarely 802 Research & Development
## 665 665 34 No Non-Travel 1065 Sales
## 666 666 29 No Travel_Frequently 461 Research & Development
## 667 667 29 No Travel_Frequently 1413 Sales
## 668 668 33 Yes Travel_Rarely 587 Research & Development
## 669 669 32 Yes Travel_Rarely 1089 Research & Development
## 670 670 54 No Travel_Rarely 685 Research & Development
## 671 671 37 No Travel_Rarely 397 Research & Development
## 672 672 33 No Travel_Rarely 392 Sales
## 673 673 28 No Travel_Frequently 467 Sales
## 674 674 35 Yes Travel_Frequently 130 Research & Development
## 675 675 27 No Travel_Rarely 486 Research & Development
## 676 676 46 No Travel_Rarely 168 Sales
## 677 677 36 No Travel_Rarely 676 Research & Development
## 678 678 40 No Travel_Frequently 692 Research & Development
## 679 679 36 No Travel_Frequently 688 Research & Development
## 680 680 31 No Travel_Rarely 154 Sales
## 681 681 25 No Travel_Rarely 583 Sales
## 682 682 43 No Travel_Frequently 313 Research & Development
## 683 683 36 No Travel_Rarely 1351 Research & Development
## 684 684 57 No Travel_Rarely 334 Research & Development
## 685 685 28 No Travel_Rarely 440 Research & Development
## 686 686 31 No Travel_Rarely 1274 Research & Development
## 687 687 29 Yes Travel_Frequently 337 Research & Development
## 688 688 33 No Travel_Rarely 147 Research & Development
## 689 689 19 Yes Travel_Rarely 303 Research & Development
## 690 690 38 No Non-Travel 1336 Human Resources
## 691 691 38 No Travel_Frequently 888 Human Resources
## 692 692 47 Yes Non-Travel 666 Research & Development
## 693 693 42 No Travel_Rarely 1332 Research & Development
## 694 694 30 Yes Travel_Frequently 464 Research & Development
## 695 695 37 No Travel_Frequently 1278 Sales
## 696 696 47 No Travel_Rarely 1454 Sales
## 697 697 48 No Travel_Frequently 365 Research & Development
## 698 698 36 No Travel_Rarely 1396 Research & Development
## 699 699 18 Yes Travel_Frequently 544 Sales
## 700 700 46 No Travel_Rarely 1450 Research & Development
## 701 701 29 No Travel_Rarely 352 Human Resources
## 702 702 34 No Travel_Rarely 1400 Sales
## 703 703 35 No Non-Travel 1212 Sales
## 704 704 26 Yes Travel_Rarely 920 Human Resources
## 705 705 59 No Travel_Rarely 818 Human Resources
## 706 706 41 No Non-Travel 267 Sales
## 707 707 54 No Travel_Rarely 431 Research & Development
## 708 708 31 No Travel_Rarely 1398 Human Resources
## 709 709 38 No Travel_Rarely 1153 Research & Development
## 710 710 50 No Non-Travel 881 Research & Development
## 711 711 30 No Travel_Rarely 634 Research & Development
## 712 712 57 No Travel_Rarely 210 Sales
## 713 713 48 No Travel_Rarely 969 Research & Development
## 714 714 36 No Travel_Frequently 541 Sales
## 715 715 36 No Non-Travel 1434 Sales
## 716 716 24 Yes Travel_Rarely 240 Human Resources
## 717 717 30 No Travel_Rarely 852 Sales
## 718 718 28 No Travel_Rarely 857 Research & Development
## 719 719 35 Yes Travel_Frequently 880 Sales
## 720 720 28 No Travel_Rarely 950 Research & Development
## 721 721 37 No Travel_Rarely 482 Research & Development
## 722 722 37 No Travel_Rarely 671 Research & Development
## 723 723 34 No Travel_Frequently 560 Research & Development
## 724 724 36 No Travel_Rarely 796 Research & Development
## 725 725 42 No Travel_Rarely 1142 Research & Development
## 726 726 25 No Travel_Rarely 685 Research & Development
## 727 727 37 No Travel_Frequently 1231 Sales
## 728 728 34 No Travel_Frequently 878 Research & Development
## 729 729 26 Yes Travel_Rarely 471 Research & Development
## 730 730 22 No Travel_Rarely 594 Research & Development
## 731 731 43 No Travel_Rarely 177 Research & Development
## 732 732 39 Yes Travel_Rarely 1162 Sales
## 733 733 27 Yes Travel_Frequently 1337 Human Resources
## 734 734 32 Yes Non-Travel 1474 Sales
## 735 735 34 No Travel_Rarely 479 Research & Development
## 736 736 27 No Travel_Rarely 511 Sales
## 737 737 39 No Travel_Rarely 722 Sales
## 738 738 59 No Travel_Rarely 326 Sales
## 739 739 35 No Travel_Rarely 1219 Sales
## 740 740 35 No Travel_Rarely 538 Research & Development
## 741 741 25 No Travel_Rarely 959 Sales
## 742 742 31 No Travel_Rarely 688 Sales
## 743 743 37 No Travel_Rarely 674 Research & Development
## 744 744 23 No Travel_Rarely 160 Research & Development
## 745 745 25 No Travel_Rarely 1382 Sales
## 746 746 24 No Travel_Rarely 350 Research & Development
## 747 747 29 Yes Travel_Rarely 350 Human Resources
## 748 748 34 No Travel_Frequently 669 Research & Development
## 749 749 24 No Travel_Rarely 506 Research & Development
## 750 750 33 No Travel_Rarely 134 Research & Development
## 751 751 20 Yes Travel_Frequently 769 Sales
## 752 752 31 Yes Travel_Frequently 1060 Sales
## 753 753 50 No Travel_Frequently 1234 Research & Development
## 754 754 46 Yes Travel_Rarely 1254 Sales
## 755 755 54 No Travel_Rarely 1217 Research & Development
## 756 756 44 No Non-Travel 381 Research & Development
## 757 757 35 No Travel_Rarely 1137 Research & Development
## 758 758 49 No Travel_Rarely 1495 Research & Development
## 759 759 38 No Travel_Rarely 1495 Research & Development
## 760 760 45 Yes Travel_Rarely 1449 Sales
## 761 761 29 Yes Travel_Rarely 906 Research & Development
## 762 762 47 No Travel_Rarely 202 Research & Development
## 763 763 41 No Non-Travel 256 Sales
## 764 764 50 No Non-Travel 145 Sales
## 765 765 34 No Travel_Rarely 829 Human Resources
## 766 766 45 No Travel_Rarely 1015 Research & Development
## 767 767 41 No Travel_Rarely 509 Research & Development
## 768 768 40 No Non-Travel 1094 Sales
## 769 769 46 No Travel_Rarely 150 Research & Development
## 770 770 45 No Non-Travel 1050 Sales
## 771 771 33 No Travel_Frequently 508 Sales
## 772 772 46 No Travel_Rarely 526 Sales
## 773 773 39 No Travel_Frequently 505 Research & Development
## 774 774 36 Yes Travel_Rarely 318 Research & Development
## 775 775 42 No Travel_Frequently 288 Research & Development
## 776 776 23 No Travel_Rarely 310 Research & Development
## 777 777 30 No Travel_Rarely 330 Human Resources
## 778 778 32 No Non-Travel 862 Sales
## 779 779 26 No Non-Travel 786 Research & Development
## 780 780 29 Yes Travel_Rarely 1092 Research & Development
## 781 781 41 Yes Travel_Rarely 1356 Sales
## 782 782 39 No Travel_Rarely 408 Research & Development
## 783 783 33 No Travel_Rarely 1075 Human Resources
## 784 784 33 No Travel_Frequently 1146 Sales
## 785 785 47 No Non-Travel 543 Sales
## 786 786 31 No Travel_Rarely 182 Research & Development
## 787 787 51 No Travel_Rarely 942 Research & Development
## 788 788 52 Yes Travel_Rarely 723 Research & Development
## 789 789 55 No Travel_Rarely 478 Research & Development
## 790 790 25 No Travel_Rarely 266 Research & Development
## 791 791 49 No Travel_Rarely 271 Research & Development
## 792 792 34 No Travel_Rarely 629 Research & Development
## 793 793 38 No Travel_Rarely 397 Research & Development
## 794 794 36 No Travel_Rarely 1223 Research & Development
## 795 795 49 No Non-Travel 1002 Research & Development
## 796 796 33 Yes Travel_Frequently 1076 Research & Development
## 797 797 45 No Travel_Rarely 1385 Research & Development
## 798 798 22 Yes Travel_Rarely 1294 Research & Development
## 799 799 19 Yes Non-Travel 504 Research & Development
## 800 800 36 No Travel_Rarely 1040 Research & Development
## 801 801 33 No Travel_Frequently 1141 Sales
## 802 802 31 No Travel_Rarely 828 Sales
## 803 803 39 No Travel_Rarely 117 Research & Development
## 804 804 35 Yes Travel_Rarely 1204 Sales
## 805 805 44 No Non-Travel 489 Research & Development
## 806 806 36 No Travel_Rarely 1383 Research & Development
## 807 807 25 No Travel_Rarely 1372 Sales
## 808 808 22 No Travel_Rarely 1256 Research & Development
## 809 809 30 No Travel_Rarely 793 Research & Development
## 810 810 27 No Travel_Rarely 1157 Research & Development
## 811 811 30 No Non-Travel 111 Research & Development
## 812 812 25 No Travel_Rarely 949 Research & Development
## 813 813 24 No Travel_Rarely 1371 Sales
## 814 814 47 No Travel_Rarely 1176 Human Resources
## 815 815 38 No Travel_Rarely 395 Sales
## 816 816 33 No Travel_Rarely 117 Research & Development
## 817 817 30 No Travel_Rarely 946 Research & Development
## 818 818 33 No Travel_Rarely 213 Research & Development
## 819 819 30 No Travel_Rarely 1427 Research & Development
## 820 820 28 Yes Travel_Rarely 1475 Sales
## 821 821 32 No Travel_Rarely 634 Research & Development
## 822 822 29 No Travel_Rarely 1247 Sales
## 823 823 34 No Travel_Rarely 704 Sales
## 824 824 31 Yes Travel_Frequently 874 Research & Development
## 825 825 36 No Travel_Rarely 559 Research & Development
## 826 826 46 No Travel_Rarely 430 Research & Development
## 827 827 31 Yes Travel_Rarely 1079 Sales
## 828 828 34 No Travel_Rarely 131 Sales
## 829 829 38 No Travel_Frequently 594 Research & Development
## 830 830 50 No Travel_Frequently 1246 Human Resources
## 831 831 45 No Non-Travel 248 Research & Development
## 832 832 19 Yes Travel_Rarely 528 Sales
## 833 833 28 No Travel_Rarely 1179 Research & Development
## 834 834 19 No Travel_Rarely 645 Research & Development
## 835 835 55 No Non-Travel 177 Research & Development
## 836 836 37 No Non-Travel 142 Sales
## 837 837 37 No Travel_Rarely 1439 Research & Development
## 838 838 34 No Travel_Rarely 258 Sales
## 839 839 47 No Travel_Rarely 1001 Research & Development
## 840 840 48 No Travel_Rarely 1224 Research & Development
## 841 841 18 Yes Travel_Rarely 230 Research & Development
## 842 842 29 No Travel_Rarely 332 Human Resources
## 843 843 52 No Travel_Frequently 890 Research & Development
## 844 844 34 No Travel_Rarely 943 Research & Development
## 845 845 34 No Travel_Rarely 511 Sales
## 846 846 28 No Travel_Rarely 1300 Research & Development
## 847 847 19 No Travel_Rarely 1181 Research & Development
## 848 848 39 No Travel_Rarely 1132 Research & Development
## 849 849 40 Yes Travel_Rarely 575 Sales
## 850 850 26 No Travel_Frequently 1096 Research & Development
## 851 851 31 Yes Travel_Rarely 542 Sales
## 852 852 30 No Travel_Rarely 125 Research & Development
## 853 853 29 No Travel_Rarely 153 Research & Development
## 854 854 28 No Travel_Rarely 1476 Research & Development
## 855 855 35 No Travel_Rarely 219 Research & Development
## 856 856 35 No Travel_Rarely 660 Sales
## 857 857 30 Yes Travel_Rarely 1005 Research & Development
## 858 858 31 No Travel_Frequently 798 Research & Development
## 859 859 41 No Travel_Rarely 933 Research & Development
## 860 860 44 Yes Travel_Rarely 621 Research & Development
## 861 861 51 No Travel_Frequently 968 Research & Development
## 862 862 43 No Travel_Rarely 531 Sales
## 863 863 34 Yes Non-Travel 1362 Sales
## 864 864 47 No Travel_Frequently 217 Sales
## 865 865 45 No Travel_Rarely 1448 Research & Development
## 866 866 48 No Travel_Rarely 855 Research & Development
## 867 867 32 No Non-Travel 976 Sales
## 868 868 47 No Travel_Rarely 571 Sales
## 869 869 45 No Travel_Rarely 1457 Research & Development
## 870 870 35 No Travel_Frequently 138 Research & Development
## DistanceFromHome Education EducationField EmployeeCount
## 1 13 4 Life Sciences 1
## 2 14 3 Medical 1
## 3 18 2 Life Sciences 1
## 4 1 4 Marketing 1
## 5 2 1 Technical Degree 1
## 6 10 2 Life Sciences 1
## 7 5 5 Medical 1
## 8 10 4 Life Sciences 1
## 9 10 4 Life Sciences 1
## 10 10 4 Technical Degree 1
## 11 6 3 Medical 1
## 12 1 2 Life Sciences 1
## 13 7 3 Other 1
## 14 2 1 Technical Degree 1
## 15 1 2 Life Sciences 1
## 16 20 2 Marketing 1
## 17 3 4 Medical 1
## 18 7 4 Medical 1
## 19 2 4 Medical 1
## 20 1 4 Life Sciences 1
## 21 9 2 Medical 1
## 22 2 1 Marketing 1
## 23 9 5 Medical 1
## 24 2 4 Other 1
## 25 1 3 Life Sciences 1
## 26 5 3 Marketing 1
## 27 14 3 Life Sciences 1
## 28 9 4 Marketing 1
## 29 24 4 Life Sciences 1
## 30 19 4 Medical 1
## 31 9 2 Medical 1
## 32 21 3 Medical 1
## 33 2 3 Technical Degree 1
## 34 1 4 Medical 1
## 35 5 4 Life Sciences 1
## 36 7 3 Life Sciences 1
## 37 10 3 Medical 1
## 38 13 5 Marketing 1
## 39 8 4 Life Sciences 1
## 40 20 3 Life Sciences 1
## 41 2 3 Medical 1
## 42 2 2 Technical Degree 1
## 43 16 3 Medical 1
## 44 9 2 Other 1
## 45 1 2 Life Sciences 1
## 46 9 2 Medical 1
## 47 1 2 Life Sciences 1
## 48 10 4 Marketing 1
## 49 5 3 Marketing 1
## 50 9 3 Medical 1
## 51 1 1 Life Sciences 1
## 52 1 3 Medical 1
## 53 2 1 Life Sciences 1
## 54 4 2 Life Sciences 1
## 55 8 4 Life Sciences 1
## 56 9 4 Life Sciences 1
## 57 19 3 Medical 1
## 58 3 1 Medical 1
## 59 1 4 Medical 1
## 60 24 1 Life Sciences 1
## 61 3 1 Life Sciences 1
## 62 10 4 Technical Degree 1
## 63 2 2 Life Sciences 1
## 64 14 3 Medical 1
## 65 17 2 Life Sciences 1
## 66 5 2 Life Sciences 1
## 67 6 4 Life Sciences 1
## 68 12 2 Other 1
## 69 1 3 Medical 1
## 70 1 3 Life Sciences 1
## 71 1 3 Life Sciences 1
## 72 5 3 Medical 1
## 73 23 2 Life Sciences 1
## 74 12 4 Life Sciences 1
## 75 5 3 Life Sciences 1
## 76 1 2 Medical 1
## 77 1 3 Technical Degree 1
## 78 1 4 Life Sciences 1
## 79 6 3 Medical 1
## 80 2 1 Medical 1
## 81 11 2 Medical 1
## 82 27 4 Life Sciences 1
## 83 6 4 Life Sciences 1
## 84 6 3 Medical 1
## 85 2 4 Life Sciences 1
## 86 2 3 Life Sciences 1
## 87 14 4 Marketing 1
## 88 14 4 Other 1
## 89 8 3 Life Sciences 1
## 90 2 4 Marketing 1
## 91 2 2 Life Sciences 1
## 92 23 1 Life Sciences 1
## 93 2 2 Other 1
## 94 10 4 Medical 1
## 95 11 3 Life Sciences 1
## 96 1 1 Life Sciences 1
## 97 3 3 Life Sciences 1
## 98 2 2 Life Sciences 1
## 99 2 1 Life Sciences 1
## 100 1 3 Life Sciences 1
## 101 11 1 Life Sciences 1
## 102 8 2 Life Sciences 1
## 103 4 4 Marketing 1
## 104 4 3 Medical 1
## 105 2 3 Medical 1
## 106 3 4 Medical 1
## 107 1 1 Technical Degree 1
## 108 26 4 Human Resources 1
## 109 21 2 Medical 1
## 110 2 3 Technical Degree 1
## 111 6 3 Life Sciences 1
## 112 1 2 Life Sciences 1
## 113 7 4 Life Sciences 1
## 114 2 4 Life Sciences 1
## 115 17 4 Life Sciences 1
## 116 19 2 Medical 1
## 117 10 4 Life Sciences 1
## 118 13 2 Other 1
## 119 14 3 Life Sciences 1
## 120 2 4 Technical Degree 1
## 121 8 3 Life Sciences 1
## 122 5 1 Medical 1
## 123 9 3 Marketing 1
## 124 7 4 Marketing 1
## 125 2 2 Life Sciences 1
## 126 7 4 Life Sciences 1
## 127 16 1 Life Sciences 1
## 128 25 2 Life Sciences 1
## 129 6 3 Medical 1
## 130 3 3 Technical Degree 1
## 131 5 3 Medical 1
## 132 11 4 Marketing 1
## 133 28 4 Technical Degree 1
## 134 12 3 Medical 1
## 135 10 4 Life Sciences 1
## 136 2 2 Medical 1
## 137 1 2 Life Sciences 1
## 138 17 3 Technical Degree 1
## 139 6 3 Medical 1
## 140 3 3 Life Sciences 1
## 141 23 3 Life Sciences 1
## 142 23 4 Life Sciences 1
## 143 7 2 Medical 1
## 144 6 4 Medical 1
## 145 2 1 Medical 1
## 146 2 3 Life Sciences 1
## 147 14 3 Medical 1
## 148 8 4 Life Sciences 1
## 149 24 3 Medical 1
## 150 27 3 Medical 1
## 151 13 4 Medical 1
## 152 10 3 Marketing 1
## 153 7 3 Life Sciences 1
## 154 5 3 Life Sciences 1
## 155 10 3 Life Sciences 1
## 156 25 2 Technical Degree 1
## 157 2 2 Marketing 1
## 158 2 3 Life Sciences 1
## 159 27 3 Life Sciences 1
## 160 26 5 Medical 1
## 161 1 1 Life Sciences 1
## 162 24 2 Technical Degree 1
## 163 8 4 Marketing 1
## 164 17 2 Life Sciences 1
## 165 16 3 Marketing 1
## 166 2 3 Medical 1
## 167 22 4 Other 1
## 168 1 5 Medical 1
## 169 6 2 Technical Degree 1
## 170 28 4 Life Sciences 1
## 171 27 5 Marketing 1
## 172 14 4 Technical Degree 1
## 173 18 1 Medical 1
## 174 10 5 Marketing 1
## 175 2 2 Medical 1
## 176 1 1 Technical Degree 1
## 177 2 3 Medical 1
## 178 2 3 Life Sciences 1
## 179 8 3 Marketing 1
## 180 1 4 Life Sciences 1
## 181 2 3 Life Sciences 1
## 182 2 2 Life Sciences 1
## 183 28 3 Medical 1
## 184 6 3 Life Sciences 1
## 185 8 1 Life Sciences 1
## 186 9 3 Medical 1
## 187 2 1 Life Sciences 1
## 188 2 4 Life Sciences 1
## 189 4 1 Life Sciences 1
## 190 4 3 Medical 1
## 191 28 2 Medical 1
## 192 7 4 Marketing 1
## 193 18 3 Medical 1
## 194 2 5 Marketing 1
## 195 2 1 Medical 1
## 196 1 3 Life Sciences 1
## 197 9 4 Life Sciences 1
## 198 8 4 Technical Degree 1
## 199 7 4 Medical 1
## 200 17 2 Other 1
## 201 24 3 Life Sciences 1
## 202 1 3 Life Sciences 1
## 203 4 3 Life Sciences 1
## 204 1 2 Life Sciences 1
## 205 4 2 Life Sciences 1
## 206 9 2 Life Sciences 1
## 207 9 3 Marketing 1
## 208 29 1 Medical 1
## 209 5 3 Technical Degree 1
## 210 9 1 Life Sciences 1
## 211 28 4 Life Sciences 1
## 212 5 2 Marketing 1
## 213 10 2 Life Sciences 1
## 214 1 2 Life Sciences 1
## 215 3 4 Medical 1
## 216 2 3 Medical 1
## 217 10 3 Medical 1
## 218 22 3 Medical 1
## 219 18 3 Life Sciences 1
## 220 4 2 Life Sciences 1
## 221 2 3 Other 1
## 222 26 4 Life Sciences 1
## 223 16 3 Life Sciences 1
## 224 1 3 Life Sciences 1
## 225 9 2 Life Sciences 1
## 226 1 2 Medical 1
## 227 4 2 Other 1
## 228 5 3 Life Sciences 1
## 229 3 2 Other 1
## 230 6 1 Life Sciences 1
## 231 2 2 Other 1
## 232 2 3 Marketing 1
## 233 9 3 Life Sciences 1
## 234 3 3 Marketing 1
## 235 26 2 Life Sciences 1
## 236 1 4 Life Sciences 1
## 237 2 3 Life Sciences 1
## 238 9 4 Life Sciences 1
## 239 2 3 Human Resources 1
## 240 17 5 Life Sciences 1
## 241 24 3 Medical 1
## 242 25 3 Medical 1
## 243 2 3 Life Sciences 1
## 244 9 2 Life Sciences 1
## 245 8 1 Medical 1
## 246 7 1 Medical 1
## 247 7 4 Medical 1
## 248 1 4 Medical 1
## 249 22 3 Life Sciences 1
## 250 2 5 Life Sciences 1
## 251 1 2 Medical 1
## 252 8 4 Technical Degree 1
## 253 2 3 Life Sciences 1
## 254 18 5 Human Resources 1
## 255 8 1 Medical 1
## 256 9 3 Life Sciences 1
## 257 5 3 Marketing 1
## 258 7 4 Marketing 1
## 259 4 3 Life Sciences 1
## 260 2 1 Other 1
## 261 2 3 Life Sciences 1
## 262 1 4 Technical Degree 1
## 263 14 3 Medical 1
## 264 20 3 Technical Degree 1
## 265 18 1 Life Sciences 1
## 266 16 3 Medical 1
## 267 15 3 Medical 1
## 268 2 4 Life Sciences 1
## 269 7 2 Life Sciences 1
## 270 20 3 Other 1
## 271 2 4 Life Sciences 1
## 272 3 3 Life Sciences 1
## 273 23 1 Medical 1
## 274 16 4 Marketing 1
## 275 14 4 Medical 1
## 276 4 4 Technical Degree 1
## 277 11 3 Medical 1
## 278 10 4 Life Sciences 1
## 279 5 3 Marketing 1
## 280 4 4 Life Sciences 1
## 281 2 3 Medical 1
## 282 6 3 Medical 1
## 283 1 3 Life Sciences 1
## 284 7 3 Marketing 1
## 285 1 3 Human Resources 1
## 286 28 4 Life Sciences 1
## 287 7 1 Life Sciences 1
## 288 19 2 Medical 1
## 289 11 2 Technical Degree 1
## 290 8 4 Life Sciences 1
## 291 1 4 Medical 1
## 292 24 4 Life Sciences 1
## 293 9 3 Medical 1
## 294 1 1 Medical 1
## 295 6 2 Medical 1
## 296 11 4 Medical 1
## 297 2 1 Life Sciences 1
## 298 7 3 Life Sciences 1
## 299 9 2 Medical 1
## 300 2 4 Medical 1
## 301 5 2 Life Sciences 1
## 302 18 5 Life Sciences 1
## 303 22 3 Technical Degree 1
## 304 9 4 Medical 1
## 305 2 3 Technical Degree 1
## 306 4 1 Life Sciences 1
## 307 9 3 Life Sciences 1
## 308 3 4 Life Sciences 1
## 309 18 4 Medical 1
## 310 8 3 Life Sciences 1
## 311 1 4 Life Sciences 1
## 312 6 3 Life Sciences 1
## 313 3 3 Life Sciences 1
## 314 7 4 Medical 1
## 315 16 4 Marketing 1
## 316 4 2 Life Sciences 1
## 317 2 4 Marketing 1
## 318 1 2 Life Sciences 1
## 319 21 4 Life Sciences 1
## 320 25 3 Life Sciences 1
## 321 1 3 Life Sciences 1
## 322 1 5 Life Sciences 1
## 323 5 4 Life Sciences 1
## 324 8 4 Life Sciences 1
## 325 1 1 Life Sciences 1
## 326 4 3 Life Sciences 1
## 327 7 3 Medical 1
## 328 18 4 Life Sciences 1
## 329 8 3 Medical 1
## 330 10 3 Human Resources 1
## 331 1 3 Life Sciences 1
## 332 4 4 Medical 1
## 333 1 2 Medical 1
## 334 1 2 Life Sciences 1
## 335 2 4 Human Resources 1
## 336 29 4 Medical 1
## 337 11 2 Marketing 1
## 338 3 1 Life Sciences 1
## 339 1 4 Other 1
## 340 2 4 Life Sciences 1
## 341 5 4 Life Sciences 1
## 342 2 3 Life Sciences 1
## 343 5 3 Life Sciences 1
## 344 3 3 Medical 1
## 345 29 4 Life Sciences 1
## 346 15 4 Marketing 1
## 347 2 2 Life Sciences 1
## 348 1 3 Life Sciences 1
## 349 17 3 Life Sciences 1
## 350 9 3 Medical 1
## 351 6 3 Medical 1
## 352 7 3 Technical Degree 1
## 353 26 2 Medical 1
## 354 8 2 Life Sciences 1
## 355 4 1 Marketing 1
## 356 3 3 Other 1
## 357 6 3 Other 1
## 358 25 5 Technical Degree 1
## 359 1 3 Medical 1
## 360 6 3 Life Sciences 1
## 361 1 4 Life Sciences 1
## 362 24 3 Technical Degree 1
## 363 2 1 Marketing 1
## 364 2 2 Medical 1
## 365 2 2 Medical 1
## 366 6 3 Life Sciences 1
## 367 19 3 Medical 1
## 368 9 2 Medical 1
## 369 10 3 Technical Degree 1
## 370 2 4 Medical 1
## 371 1 1 Life Sciences 1
## 372 22 4 Other 1
## 373 7 3 Life Sciences 1
## 374 10 3 Medical 1
## 375 9 1 Life Sciences 1
## 376 22 5 Medical 1
## 377 16 4 Life Sciences 1
## 378 12 4 Marketing 1
## 379 15 1 Life Sciences 1
## 380 22 3 Life Sciences 1
## 381 5 5 Life Sciences 1
## 382 25 1 Life Sciences 1
## 383 7 3 Marketing 1
## 384 2 1 Technical Degree 1
## 385 4 4 Life Sciences 1
## 386 1 3 Technical Degree 1
## 387 1 3 Marketing 1
## 388 19 3 Technical Degree 1
## 389 2 4 Life Sciences 1
## 390 1 1 Technical Degree 1
## 391 8 2 Life Sciences 1
## 392 23 3 Marketing 1
## 393 3 2 Medical 1
## 394 28 3 Marketing 1
## 395 2 1 Medical 1
## 396 2 4 Life Sciences 1
## 397 2 3 Life Sciences 1
## 398 9 4 Technical Degree 1
## 399 1 4 Life Sciences 1
## 400 2 1 Medical 1
## 401 2 3 Life Sciences 1
## 402 21 2 Medical 1
## 403 9 4 Life Sciences 1
## 404 5 4 Life Sciences 1
## 405 27 1 Medical 1
## 406 6 4 Other 1
## 407 29 4 Marketing 1
## 408 6 4 Life Sciences 1
## 409 2 4 Life Sciences 1
## 410 14 2 Life Sciences 1
## 411 8 3 Life Sciences 1
## 412 6 3 Marketing 1
## 413 19 2 Life Sciences 1
## 414 10 4 Marketing 1
## 415 6 2 Marketing 1
## 416 2 2 Medical 1
## 417 2 3 Medical 1
## 418 18 4 Life Sciences 1
## 419 1 3 Life Sciences 1
## 420 3 4 Medical 1
## 421 1 2 Medical 1
## 422 25 5 Medical 1
## 423 6 4 Life Sciences 1
## 424 1 3 Life Sciences 1
## 425 26 3 Life Sciences 1
## 426 25 3 Medical 1
## 427 7 3 Technical Degree 1
## 428 3 2 Medical 1
## 429 1 3 Life Sciences 1
## 430 2 4 Life Sciences 1
## 431 2 3 Life Sciences 1
## 432 16 2 Life Sciences 1
## 433 28 2 Life Sciences 1
## 434 4 3 Technical Degree 1
## 435 10 4 Marketing 1
## 436 8 4 Marketing 1
## 437 2 4 Medical 1
## 438 1 3 Medical 1
## 439 3 2 Marketing 1
## 440 1 4 Life Sciences 1
## 441 2 2 Life Sciences 1
## 442 9 4 Medical 1
## 443 2 4 Life Sciences 1
## 444 1 3 Life Sciences 1
## 445 2 4 Medical 1
## 446 1 3 Technical Degree 1
## 447 1 3 Life Sciences 1
## 448 13 3 Medical 1
## 449 29 5 Life Sciences 1
## 450 26 3 Marketing 1
## 451 15 2 Medical 1
## 452 20 3 Life Sciences 1
## 453 27 3 Life Sciences 1
## 454 10 4 Marketing 1
## 455 1 4 Life Sciences 1
## 456 7 4 Medical 1
## 457 5 4 Life Sciences 1
## 458 21 4 Marketing 1
## 459 1 2 Life Sciences 1
## 460 4 4 Life Sciences 1
## 461 5 2 Other 1
## 462 7 3 Life Sciences 1
## 463 12 3 Marketing 1
## 464 24 1 Technical Degree 1
## 465 17 3 Technical Degree 1
## 466 2 3 Life Sciences 1
## 467 2 4 Life Sciences 1
## 468 6 3 Life Sciences 1
## 469 29 2 Medical 1
## 470 13 2 Medical 1
## 471 2 4 Technical Degree 1
## 472 24 2 Life Sciences 1
## 473 6 4 Other 1
## 474 29 3 Medical 1
## 475 15 2 Life Sciences 1
## 476 5 4 Marketing 1
## 477 16 4 Marketing 1
## 478 29 2 Medical 1
## 479 8 4 Other 1
## 480 10 3 Life Sciences 1
## 481 1 3 Life Sciences 1
## 482 11 4 Life Sciences 1
## 483 22 4 Other 1
## 484 8 3 Life Sciences 1
## 485 23 4 Medical 1
## 486 1 2 Life Sciences 1
## 487 9 3 Medical 1
## 488 26 1 Life Sciences 1
## 489 1 2 Life Sciences 1
## 490 8 2 Medical 1
## 491 10 4 Life Sciences 1
## 492 28 3 Life Sciences 1
## 493 10 3 Medical 1
## 494 16 3 Life Sciences 1
## 495 10 4 Technical Degree 1
## 496 26 4 Marketing 1
## 497 10 2 Life Sciences 1
## 498 9 3 Medical 1
## 499 27 3 Medical 1
## 500 21 4 Life Sciences 1
## 501 7 4 Medical 1
## 502 24 3 Life Sciences 1
## 503 7 2 Medical 1
## 504 21 4 Life Sciences 1
## 505 2 4 Medical 1
## 506 5 2 Life Sciences 1
## 507 5 3 Marketing 1
## 508 2 3 Marketing 1
## 509 4 4 Marketing 1
## 510 12 3 Technical Degree 1
## 511 10 2 Life Sciences 1
## 512 25 2 Life Sciences 1
## 513 10 3 Life Sciences 1
## 514 1 2 Life Sciences 1
## 515 9 2 Medical 1
## 516 2 3 Medical 1
## 517 19 2 Marketing 1
## 518 12 3 Medical 1
## 519 6 3 Technical Degree 1
## 520 24 2 Life Sciences 1
## 521 16 4 Life Sciences 1
## 522 24 3 Medical 1
## 523 7 3 Life Sciences 1
## 524 18 4 Life Sciences 1
## 525 3 3 Life Sciences 1
## 526 2 3 Marketing 1
## 527 4 2 Life Sciences 1
## 528 11 2 Medical 1
## 529 1 3 Medical 1
## 530 14 4 Life Sciences 1
## 531 17 1 Life Sciences 1
## 532 1 4 Life Sciences 1
## 533 23 2 Life Sciences 1
## 534 15 4 Medical 1
## 535 8 4 Other 1
## 536 7 3 Medical 1
## 537 2 2 Marketing 1
## 538 2 1 Technical Degree 1
## 539 1 1 Technical Degree 1
## 540 4 4 Marketing 1
## 541 7 4 Life Sciences 1
## 542 8 4 Life Sciences 1
## 543 3 3 Medical 1
## 544 2 4 Life Sciences 1
## 545 2 4 Medical 1
## 546 19 3 Life Sciences 1
## 547 8 2 Other 1
## 548 16 4 Medical 1
## 549 25 2 Life Sciences 1
## 550 24 4 Medical 1
## 551 1 3 Human Resources 1
## 552 8 2 Medical 1
## 553 2 1 Human Resources 1
## 554 20 4 Medical 1
## 555 9 5 Life Sciences 1
## 556 2 3 Marketing 1
## 557 8 4 Life Sciences 1
## 558 1 2 Life Sciences 1
## 559 29 3 Life Sciences 1
## 560 1 3 Life Sciences 1
## 561 3 2 Medical 1
## 562 15 4 Life Sciences 1
## 563 16 4 Technical Degree 1
## 564 10 3 Medical 1
## 565 1 3 Life Sciences 1
## 566 1 3 Medical 1
## 567 2 1 Technical Degree 1
## 568 1 3 Life Sciences 1
## 569 14 2 Medical 1
## 570 24 3 Life Sciences 1
## 571 8 3 Marketing 1
## 572 18 1 Other 1
## 573 1 2 Life Sciences 1
## 574 8 2 Technical Degree 1
## 575 28 2 Marketing 1
## 576 1 4 Life Sciences 1
## 577 1 3 Life Sciences 1
## 578 5 3 Life Sciences 1
## 579 4 3 Medical 1
## 580 7 3 Life Sciences 1
## 581 19 1 Medical 1
## 582 23 5 Life Sciences 1
## 583 18 3 Medical 1
## 584 2 4 Marketing 1
## 585 10 4 Other 1
## 586 19 2 Medical 1
## 587 6 3 Medical 1
## 588 9 4 Life Sciences 1
## 589 11 3 Medical 1
## 590 23 4 Medical 1
## 591 26 2 Other 1
## 592 24 4 Medical 1
## 593 1 3 Technical Degree 1
## 594 25 4 Life Sciences 1
## 595 15 3 Life Sciences 1
## 596 1 3 Medical 1
## 597 25 3 Technical Degree 1
## 598 2 3 Medical 1
## 599 4 3 Life Sciences 1
## 600 1 3 Medical 1
## 601 13 2 Life Sciences 1
## 602 1 4 Technical Degree 1
## 603 8 2 Life Sciences 1
## 604 6 1 Medical 1
## 605 9 3 Marketing 1
## 606 7 3 Life Sciences 1
## 607 1 1 Life Sciences 1
## 608 7 2 Medical 1
## 609 7 3 Other 1
## 610 8 1 Life Sciences 1
## 611 1 3 Medical 1
## 612 2 4 Other 1
## 613 2 2 Life Sciences 1
## 614 21 3 Other 1
## 615 8 2 Other 1
## 616 5 2 Medical 1
## 617 4 4 Medical 1
## 618 1 5 Marketing 1
## 619 6 1 Medical 1
## 620 3 3 Life Sciences 1
## 621 6 3 Life Sciences 1
## 622 16 4 Medical 1
## 623 1 4 Life Sciences 1
## 624 26 4 Life Sciences 1
## 625 2 2 Medical 1
## 626 4 2 Life Sciences 1
## 627 4 1 Medical 1
## 628 15 2 Life Sciences 1
## 629 2 1 Life Sciences 1
## 630 9 3 Medical 1
## 631 2 4 Technical Degree 1
## 632 1 3 Marketing 1
## 633 3 4 Life Sciences 1
## 634 3 2 Life Sciences 1
## 635 7 3 Life Sciences 1
## 636 4 4 Other 1
## 637 2 2 Medical 1
## 638 13 4 Medical 1
## 639 23 3 Medical 1
## 640 2 1 Marketing 1
## 641 24 1 Life Sciences 1
## 642 12 3 Life Sciences 1
## 643 2 1 Medical 1
## 644 16 4 Technical Degree 1
## 645 5 2 Life Sciences 1
## 646 4 4 Marketing 1
## 647 8 1 Medical 1
## 648 17 4 Medical 1
## 649 1 4 Marketing 1
## 650 7 3 Life Sciences 1
## 651 1 3 Medical 1
## 652 7 4 Marketing 1
## 653 9 4 Medical 1
## 654 29 1 Medical 1
## 655 4 1 Technical Degree 1
## 656 11 2 Medical 1
## 657 8 4 Life Sciences 1
## 658 11 4 Medical 1
## 659 6 3 Medical 1
## 660 11 3 Life Sciences 1
## 661 24 4 Life Sciences 1
## 662 2 4 Life Sciences 1
## 663 2 3 Life Sciences 1
## 664 10 3 Other 1
## 665 23 4 Marketing 1
## 666 1 3 Life Sciences 1
## 667 1 1 Medical 1
## 668 10 1 Medical 1
## 669 7 2 Life Sciences 1
## 670 3 3 Life Sciences 1
## 671 7 4 Medical 1
## 672 2 4 Medical 1
## 673 7 3 Life Sciences 1
## 674 25 4 Life Sciences 1
## 675 8 3 Medical 1
## 676 4 2 Marketing 1
## 677 1 3 Other 1
## 678 11 3 Technical Degree 1
## 679 4 2 Life Sciences 1
## 680 7 4 Life Sciences 1
## 681 4 1 Marketing 1
## 682 21 3 Medical 1
## 683 26 4 Life Sciences 1
## 684 24 2 Life Sciences 1
## 685 21 3 Medical 1
## 686 9 1 Life Sciences 1
## 687 14 1 Other 1
## 688 4 4 Medical 1
## 689 2 3 Life Sciences 1
## 690 2 3 Human Resources 1
## 691 10 4 Human Resources 1
## 692 29 4 Life Sciences 1
## 693 2 4 Other 1
## 694 4 3 Technical Degree 1
## 695 1 4 Medical 1
## 696 2 4 Life Sciences 1
## 697 4 5 Medical 1
## 698 5 2 Life Sciences 1
## 699 3 2 Medical 1
## 700 15 2 Life Sciences 1
## 701 6 1 Medical 1
## 702 9 1 Life Sciences 1
## 703 8 2 Marketing 1
## 704 20 2 Medical 1
## 705 6 2 Medical 1
## 706 10 2 Life Sciences 1
## 707 7 4 Medical 1
## 708 8 2 Medical 1
## 709 6 2 Other 1
## 710 2 4 Life Sciences 1
## 711 17 4 Medical 1
## 712 29 3 Marketing 1
## 713 2 2 Technical Degree 1
## 714 3 4 Medical 1
## 715 8 4 Life Sciences 1
## 716 22 1 Human Resources 1
## 717 10 3 Marketing 1
## 718 10 3 Other 1
## 719 12 4 Other 1
## 720 3 3 Medical 1
## 721 3 3 Other 1
## 722 19 3 Life Sciences 1
## 723 1 4 Other 1
## 724 12 5 Medical 1
## 725 8 3 Life Sciences 1
## 726 1 3 Life Sciences 1
## 727 21 2 Medical 1
## 728 10 4 Medical 1
## 729 24 3 Technical Degree 1
## 730 2 1 Technical Degree 1
## 731 8 3 Life Sciences 1
## 732 3 2 Medical 1
## 733 22 3 Human Resources 1
## 734 11 4 Other 1
## 735 7 4 Medical 1
## 736 2 2 Medical 1
## 737 24 1 Marketing 1
## 738 3 3 Life Sciences 1
## 739 18 3 Medical 1
## 740 25 2 Other 1
## 741 28 3 Life Sciences 1
## 742 7 3 Life Sciences 1
## 743 13 3 Medical 1
## 744 4 1 Medical 1
## 745 8 2 Other 1
## 746 21 2 Technical Degree 1
## 747 13 3 Human Resources 1
## 748 1 3 Medical 1
## 749 29 1 Medical 1
## 750 2 3 Life Sciences 1
## 751 9 3 Marketing 1
## 752 1 3 Life Sciences 1
## 753 20 5 Medical 1
## 754 10 3 Life Sciences 1
## 755 2 4 Technical Degree 1
## 756 24 3 Medical 1
## 757 21 1 Life Sciences 1
## 758 5 4 Technical Degree 1
## 759 4 2 Medical 1
## 760 2 3 Marketing 1
## 761 10 3 Life Sciences 1
## 762 2 2 Other 1
## 763 10 2 Medical 1
## 764 1 3 Life Sciences 1
## 765 3 2 Human Resources 1
## 766 5 5 Medical 1
## 767 7 2 Technical Degree 1
## 768 28 3 Other 1
## 769 2 4 Technical Degree 1
## 770 9 4 Life Sciences 1
## 771 10 3 Marketing 1
## 772 1 2 Marketing 1
## 773 2 4 Technical Degree 1
## 774 9 3 Medical 1
## 775 2 3 Life Sciences 1
## 776 10 1 Medical 1
## 777 1 3 Life Sciences 1
## 778 2 1 Life Sciences 1
## 779 7 3 Medical 1
## 780 1 4 Medical 1
## 781 20 2 Marketing 1
## 782 2 4 Technical Degree 1
## 783 3 2 Human Resources 1
## 784 25 3 Medical 1
## 785 2 4 Marketing 1
## 786 8 5 Life Sciences 1
## 787 3 3 Technical Degree 1
## 788 8 4 Medical 1
## 789 2 3 Medical 1
## 790 1 3 Medical 1
## 791 3 2 Medical 1
## 792 27 2 Medical 1
## 793 2 2 Medical 1
## 794 8 3 Technical Degree 1
## 795 18 4 Life Sciences 1
## 796 3 3 Life Sciences 1
## 797 20 2 Medical 1
## 798 8 1 Medical 1
## 799 10 3 Medical 1
## 800 3 2 Life Sciences 1
## 801 1 3 Life Sciences 1
## 802 2 1 Life Sciences 1
## 803 10 1 Medical 1
## 804 4 3 Technical Degree 1
## 805 23 3 Medical 1
## 806 10 3 Life Sciences 1
## 807 18 1 Life Sciences 1
## 808 19 1 Medical 1
## 809 16 1 Life Sciences 1
## 810 17 3 Technical Degree 1
## 811 9 3 Medical 1
## 812 1 3 Technical Degree 1
## 813 10 4 Marketing 1
## 814 26 4 Life Sciences 1
## 815 9 3 Marketing 1
## 816 9 3 Medical 1
## 817 2 3 Medical 1
## 818 7 3 Medical 1
## 819 2 1 Medical 1
## 820 13 2 Marketing 1
## 821 5 4 Other 1
## 822 20 2 Marketing 1
## 823 28 3 Marketing 1
## 824 15 3 Medical 1
## 825 12 4 Life Sciences 1
## 826 1 4 Medical 1
## 827 16 4 Marketing 1
## 828 2 3 Marketing 1
## 829 2 2 Medical 1
## 830 3 3 Medical 1
## 831 23 2 Life Sciences 1
## 832 22 1 Marketing 1
## 833 19 4 Medical 1
## 834 9 2 Life Sciences 1
## 835 8 1 Medical 1
## 836 9 4 Medical 1
## 837 4 1 Life Sciences 1
## 838 21 4 Life Sciences 1
## 839 4 3 Life Sciences 1
## 840 10 3 Life Sciences 1
## 841 3 3 Life Sciences 1
## 842 17 3 Other 1
## 843 25 4 Medical 1
## 844 9 3 Life Sciences 1
## 845 3 2 Life Sciences 1
## 846 17 2 Medical 1
## 847 3 1 Medical 1
## 848 1 3 Medical 1
## 849 22 2 Marketing 1
## 850 6 3 Other 1
## 851 20 3 Life Sciences 1
## 852 9 2 Medical 1
## 853 15 2 Life Sciences 1
## 854 16 2 Medical 1
## 855 16 2 Other 1
## 856 7 1 Life Sciences 1
## 857 3 3 Technical Degree 1
## 858 7 2 Life Sciences 1
## 859 9 4 Life Sciences 1
## 860 15 3 Medical 1
## 861 6 2 Medical 1
## 862 4 4 Marketing 1
## 863 19 3 Marketing 1
## 864 3 3 Medical 1
## 865 29 3 Technical Degree 1
## 866 4 3 Life Sciences 1
## 867 26 4 Marketing 1
## 868 14 3 Medical 1
## 869 7 3 Medical 1
## 870 2 3 Medical 1
## EmployeeNumber EnvironmentSatisfaction Gender HourlyRate
## 1 859 2 Male 73
## 2 1128 3 Male 44
## 3 1412 3 Male 60
## 4 2016 3 Female 48
## 5 1646 1 Female 32
## 6 733 4 Male 32
## 7 1448 2 Male 90
## 8 1105 4 Female 88
## 9 1055 3 Female 87
## 10 1597 4 Male 92
## 11 1866 1 Female 81
## 12 1858 3 Male 43
## 13 845 3 Male 59
## 14 508 3 Male 72
## 15 1314 4 Female 44
## 16 947 4 Female 45
## 17 966 3 Female 93
## 18 487 3 Female 30
## 19 1755 4 Male 97
## 20 1903 2 Male 78
## 21 699 2 Male 48
## 22 712 2 Male 56
## 23 663 4 Male 72
## 24 1613 4 Male 54
## 25 969 2 Female 42
## 26 1267 2 Male 88
## 27 1582 3 Male 80
## 28 1157 1 Female 77
## 29 1968 1 Male 66
## 30 791 4 Male 41
## 31 195 4 Male 35
## 32 1698 2 Male 79
## 33 363 3 Female 75
## 34 1172 4 Male 58
## 35 1966 4 Male 56
## 36 359 2 Male 100
## 37 1639 4 Male 55
## 38 1733 2 Male 96
## 39 1338 4 Male 99
## 40 1135 3 Male 67
## 41 1824 2 Male 52
## 42 783 2 Male 46
## 43 1674 4 Female 74
## 44 1595 4 Male 93
## 45 1270 4 Male 47
## 46 1480 1 Female 74
## 47 1734 1 Male 34
## 48 1119 3 Male 73
## 49 614 2 Male 69
## 50 218 4 Male 57
## 51 662 3 Female 43
## 52 1423 4 Female 76
## 53 1246 1 Female 72
## 54 972 3 Male 57
## 55 98 3 Female 61
## 56 1772 3 Male 94
## 57 752 3 Male 57
## 58 1586 2 Male 87
## 59 380 1 Female 80
## 60 1273 3 Male 73
## 61 967 3 Male 51
## 62 1312 4 Female 63
## 63 1996 1 Male 54
## 64 1839 2 Female 33
## 65 1219 4 Female 97
## 66 21 1 Male 80
## 67 691 2 Male 82
## 68 1982 4 Male 78
## 69 88 2 Male 79
## 70 391 4 Female 42
## 71 1999 4 Male 76
## 72 1469 4 Male 84
## 73 261 2 Male 50
## 74 1158 2 Male 46
## 75 1319 2 Male 64
## 76 57 3 Female 58
## 77 1535 4 Male 64
## 78 1602 4 Male 56
## 79 302 4 Female 57
## 80 1974 4 Female 59
## 81 1033 1 Female 61
## 82 1728 4 Male 49
## 83 1997 1 Male 72
## 84 474 3 Male 51
## 85 1294 3 Female 53
## 86 1032 3 Female 69
## 87 728 4 Male 42
## 88 1010 3 Male 39
## 89 56 4 Male 37
## 90 38 2 Female 83
## 91 556 4 Male 42
## 92 1165 4 Female 45
## 93 4 4 Male 92
## 94 1587 1 Female 51
## 95 226 3 Female 53
## 96 387 2 Male 99
## 97 1527 3 Female 51
## 98 139 3 Male 100
## 99 1513 4 Female 97
## 100 1447 4 Female 86
## 101 1434 2 Male 91
## 102 1453 1 Male 31
## 103 523 3 Female 72
## 104 705 1 Male 58
## 105 1472 4 Male 39
## 106 1177 1 Male 82
## 107 208 4 Male 41
## 108 1973 3 Male 71
## 109 1821 4 Female 66
## 110 2038 4 Male 78
## 111 1154 3 Male 39
## 112 976 4 Male 70
## 113 1118 2 Male 87
## 114 771 4 Female 61
## 115 1218 3 Male 94
## 116 904 1 Male 32
## 117 1240 3 Male 57
## 118 2053 4 Male 46
## 119 227 1 Male 56
## 120 1383 3 Female 98
## 121 742 1 Female 63
## 122 2021 3 Male 58
## 123 864 4 Male 74
## 124 709 4 Female 46
## 125 388 2 Male 44
## 126 1962 3 Female 55
## 127 33 2 Female 72
## 128 1888 2 Female 93
## 129 1402 1 Female 73
## 130 1863 1 Female 45
## 131 1669 1 Male 43
## 132 1757 4 Female 80
## 133 551 4 Female 88
## 134 1654 4 Male 66
## 135 448 3 Female 82
## 136 807 3 Female 38
## 137 816 2 Female 36
## 138 1013 3 Female 56
## 139 932 4 Male 70
## 140 152 3 Male 87
## 141 1373 4 Male 68
## 142 1308 1 Male 88
## 143 1007 4 Male 75
## 144 378 3 Male 98
## 145 1375 2 Female 89
## 146 469 4 Male 61
## 147 252 4 Female 72
## 148 1560 1 Male 46
## 149 1173 4 Male 49
## 150 1622 2 Female 39
## 151 650 2 Male 46
## 152 722 4 Male 55
## 153 420 4 Male 91
## 154 1814 2 Male 85
## 155 934 2 Male 83
## 156 475 4 Female 85
## 157 1986 2 Female 92
## 158 1127 1 Male 84
## 159 1126 3 Female 83
## 160 1242 1 Female 60
## 161 104 4 Male 55
## 162 1082 2 Male 72
## 163 677 3 Male 39
## 164 347 4 Female 82
## 165 406 3 Male 96
## 166 922 3 Female 49
## 167 1655 1 Female 72
## 168 612 1 Female 95
## 169 630 4 Male 78
## 170 1120 3 Female 93
## 171 747 3 Male 99
## 172 1934 3 Male 64
## 173 624 1 Female 86
## 174 1268 4 Male 82
## 175 981 3 Male 45
## 176 1131 4 Female 70
## 177 787 4 Male 78
## 178 1053 1 Male 57
## 179 207 2 Female 43
## 180 230 1 Female 59
## 181 1182 3 Male 44
## 182 1355 2 Female 31
## 183 171 2 Female 72
## 184 1525 2 Female 32
## 185 602 3 Female 48
## 186 377 4 Male 94
## 187 1653 4 Male 77
## 188 1676 2 Female 47
## 189 385 1 Male 96
## 190 129 2 Male 43
## 191 441 4 Female 64
## 192 1833 1 Female 68
## 193 550 3 Female 87
## 194 595 2 Female 37
## 195 1407 1 Male 36
## 196 353 3 Male 96
## 197 116 4 Male 96
## 198 1138 4 Male 56
## 199 36 1 Female 42
## 200 643 4 Male 94
## 201 986 2 Female 100
## 202 96 2 Male 66
## 203 830 3 Female 98
## 204 741 1 Female 67
## 205 330 3 Female 56
## 206 913 2 Male 61
## 207 1188 1 Female 85
## 208 282 2 Male 70
## 209 197 4 Female 84
## 210 176 3 Male 96
## 211 2034 1 Female 60
## 212 1029 4 Male 90
## 213 715 4 Male 80
## 214 827 4 Female 43
## 215 700 1 Male 54
## 216 1474 3 Male 68
## 217 634 3 Female 76
## 218 1900 4 Female 58
## 219 194 1 Female 75
## 220 1275 3 Male 53
## 221 786 4 Male 60
## 222 684 1 Female 100
## 223 1681 3 Female 36
## 224 1506 1 Male 72
## 225 1940 2 Male 71
## 226 1989 4 Male 76
## 227 53 3 Male 75
## 228 284 4 Male 60
## 229 128 1 Female 33
## 230 1661 3 Female 41
## 231 1635 4 Female 59
## 232 49 4 Female 97
## 233 1716 3 Male 82
## 234 303 4 Female 52
## 235 158 3 Male 92
## 236 970 1 Male 46
## 237 2031 1 Male 56
## 238 679 1 Female 92
## 239 1987 3 Female 82
## 240 1656 4 Female 50
## 241 605 4 Male 56
## 242 1306 2 Female 83
## 243 94 3 Male 76
## 244 1439 1 Male 68
## 245 1150 2 Male 79
## 246 912 1 Female 62
## 247 462 3 Female 39
## 248 2013 2 Male 68
## 249 1392 4 Female 75
## 250 625 2 Female 91
## 251 1994 2 Male 59
## 252 990 1 Male 84
## 253 834 2 Female 95
## 254 1842 4 Male 89
## 255 1468 4 Male 55
## 256 1813 1 Male 52
## 257 399 4 Female 84
## 258 1428 4 Female 73
## 259 1882 3 Male 64
## 260 1992 4 Male 57
## 261 1379 3 Female 90
## 262 1522 1 Male 100
## 263 325 3 Male 58
## 264 974 3 Female 84
## 265 150 2 Male 52
## 266 14 1 Male 84
## 267 1485 2 Male 71
## 268 1692 4 Male 95
## 269 1970 4 Male 36
## 270 1084 3 Male 85
## 271 1845 3 Female 67
## 272 1658 4 Female 66
## 273 1864 2 Female 36
## 274 1436 3 Female 98
## 275 254 3 Male 61
## 276 1191 4 Female 92
## 277 511 1 Female 43
## 278 430 3 Female 33
## 279 142 3 Male 46
## 280 1501 4 Male 30
## 281 1706 4 Male 73
## 282 957 4 Male 59
## 283 1822 3 Female 52
## 284 438 4 Male 73
## 285 1152 3 Male 37
## 286 1549 2 Male 79
## 287 1878 4 Male 75
## 288 18 2 Male 93
## 289 154 2 Female 92
## 290 805 1 Female 72
## 291 996 4 Female 91
## 292 419 2 Female 47
## 293 260 4 Female 99
## 294 2000 3 Female 98
## 295 1550 3 Male 38
## 296 2003 4 Male 43
## 297 256 4 Male 45
## 298 147 1 Male 66
## 299 991 3 Male 46
## 300 440 1 Male 84
## 301 889 2 Male 48
## 302 74 2 Male 71
## 303 1694 1 Male 94
## 304 2008 2 Male 48
## 305 977 4 Male 51
## 306 888 1 Male 46
## 307 1030 1 Male 64
## 308 1115 3 Male 40
## 309 1034 3 Male 62
## 310 707 4 Male 57
## 311 1580 2 Male 45
## 312 601 2 Female 75
## 313 1537 4 Female 33
## 314 211 2 Male 34
## 315 732 1 Male 84
## 316 1003 4 Female 83
## 317 216 3 Female 75
## 318 1981 2 Male 45
## 319 1390 1 Male 44
## 320 1269 2 Female 57
## 321 951 3 Female 70
## 322 683 2 Male 42
## 323 861 2 Male 75
## 324 1080 4 Female 74
## 325 1026 4 Female 65
## 326 933 2 Female 76
## 327 1608 2 Female 31
## 328 1998 4 Male 35
## 329 1937 4 Female 58
## 330 1408 3 Female 31
## 331 1677 3 Male 36
## 332 291 4 Male 32
## 333 1792 3 Male 99
## 334 725 3 Female 68
## 335 140 3 Female 32
## 336 1101 1 Female 54
## 337 1137 4 Male 54
## 338 1103 1 Male 45
## 339 1113 4 Male 81
## 340 54 4 Female 33
## 341 51 2 Female 82
## 342 1296 4 Male 52
## 343 1099 4 Male 34
## 344 680 3 Female 71
## 345 1211 3 Male 61
## 346 1975 2 Male 77
## 347 1140 4 Male 95
## 348 384 3 Female 84
## 349 1206 4 Male 74
## 350 762 3 Male 81
## 351 1911 3 Male 83
## 352 416 2 Male 100
## 353 1180 3 Female 92
## 354 1552 4 Male 72
## 355 1815 3 Female 81
## 356 1478 4 Male 81
## 357 164 3 Female 46
## 358 565 3 Female 71
## 359 78 1 Male 33
## 360 373 4 Male 47
## 361 259 3 Male 65
## 362 1928 3 Male 45
## 363 1038 1 Female 57
## 364 352 1 Male 49
## 365 1336 4 Female 58
## 366 532 3 Female 86
## 367 1285 3 Female 46
## 368 1548 1 Male 47
## 369 1592 4 Male 45
## 370 439 1 Female 74
## 371 1011 3 Female 96
## 372 567 3 Female 69
## 373 425 1 Male 97
## 374 1640 2 Female 71
## 375 1680 4 Male 54
## 376 1539 3 Male 88
## 377 1042 3 Female 43
## 378 1943 2 Male 77
## 379 1202 2 Female 69
## 380 1004 1 Female 48
## 381 447 4 Male 42
## 382 177 3 Female 61
## 383 1466 3 Male 96
## 384 113 3 Male 62
## 385 1081 1 Male 34
## 386 950 4 Female 80
## 387 314 3 Female 92
## 388 611 4 Male 34
## 389 1710 3 Female 51
## 390 478 1 Female 99
## 391 808 3 Female 93
## 392 72 3 Female 47
## 393 1948 3 Male 48
## 394 573 3 Female 80
## 395 875 2 Male 35
## 396 426 3 Male 32
## 397 575 1 Male 51
## 398 1467 1 Female 52
## 399 2026 3 Male 57
## 400 1496 2 Male 86
## 401 548 3 Female 43
## 402 270 3 Female 36
## 403 1856 2 Female 64
## 404 1651 2 Female 42
## 405 856 3 Female 53
## 406 661 2 Male 50
## 407 1784 1 Female 91
## 408 1221 3 Male 60
## 409 23 1 Female 78
## 410 843 2 Male 94
## 411 878 1 Male 77
## 412 1708 4 Male 35
## 413 61 2 Male 73
## 414 1853 4 Male 79
## 415 555 4 Female 33
## 416 1804 2 Male 90
## 417 571 3 Female 49
## 418 407 3 Male 81
## 419 1196 4 Female 56
## 420 564 2 Male 93
## 421 110 1 Male 94
## 422 529 2 Female 72
## 423 163 2 Male 76
## 424 1368 4 Female 97
## 425 1387 3 Male 48
## 426 1076 3 Male 79
## 427 1482 3 Male 64
## 428 379 4 Male 100
## 429 331 4 Male 62
## 430 339 4 Male 84
## 431 437 4 Male 74
## 432 1340 3 Male 74
## 433 1420 1 Male 97
## 434 1762 4 Female 91
## 435 954 1 Male 67
## 436 458 2 Female 56
## 437 828 3 Male 46
## 438 1952 3 Male 95
## 439 47 1 Male 86
## 440 724 2 Female 33
## 441 1235 4 Female 38
## 442 1709 4 Female 43
## 443 364 1 Male 79
## 444 1683 3 Female 44
## 445 1789 3 Male 46
## 446 1438 1 Male 74
## 447 1668 4 Male 90
## 448 1803 2 Male 95
## 449 79 4 Female 50
## 450 1612 1 Male 52
## 451 2009 2 Female 95
## 452 1475 4 Male 49
## 453 1797 3 Male 84
## 454 1924 2 Male 43
## 455 664 4 Female 40
## 456 1740 2 Male 88
## 457 1673 1 Female 67
## 458 120 3 Male 71
## 459 1441 1 Female 90
## 460 1435 1 Male 37
## 461 591 2 Male 97
## 462 1659 1 Male 77
## 463 174 3 Female 77
## 464 1736 4 Female 30
## 465 1767 3 Male 38
## 466 24 4 Male 45
## 467 1556 3 Male 70
## 468 97 2 Female 55
## 469 1037 2 Male 79
## 470 250 4 Female 57
## 471 1931 2 Male 41
## 472 1868 4 Male 73
## 473 101 4 Male 52
## 474 192 3 Male 83
## 475 1102 1 Male 50
## 476 62 1 Male 98
## 477 868 4 Male 66
## 478 618 1 Male 45
## 479 1409 3 Female 54
## 480 2017 3 Female 42
## 481 1954 1 Male 89
## 482 895 4 Male 48
## 483 1932 3 Male 86
## 484 241 3 Female 67
## 485 165 4 Female 94
## 486 1 2 Female 94
## 487 1876 2 Male 89
## 488 16 1 Male 31
## 489 64 1 Male 98
## 490 757 2 Female 96
## 491 396 3 Female 35
## 492 1317 4 Female 43
## 493 1650 3 Male 42
## 494 1529 4 Female 91
## 495 1880 2 Female 63
## 496 851 1 Female 66
## 497 544 1 Male 69
## 498 403 2 Male 53
## 499 13 3 Male 94
## 500 1929 1 Female 32
## 501 1360 3 Female 53
## 502 19 3 Male 50
## 503 1691 4 Female 95
## 504 20 2 Female 51
## 505 1443 1 Female 82
## 506 1555 4 Female 67
## 507 485 4 Female 34
## 508 1391 2 Male 52
## 509 311 1 Male 41
## 510 58 2 Female 49
## 511 2041 1 Female 100
## 512 1397 3 Male 71
## 513 1720 1 Male 56
## 514 73 1 Female 98
## 515 484 1 Male 39
## 516 408 4 Male 84
## 517 952 3 Male 36
## 518 1768 2 Male 57
## 519 1311 1 Female 48
## 520 1907 1 Male 97
## 521 838 3 Female 100
## 522 1604 3 Male 51
## 523 86 2 Male 59
## 524 638 4 Male 58
## 525 309 3 Male 70
## 526 1050 3 Female 38
## 527 240 3 Female 30
## 528 1251 3 Male 80
## 529 105 2 Male 30
## 530 161 2 Female 72
## 531 1088 3 Female 65
## 532 1585 2 Female 73
## 533 824 3 Male 81
## 534 1955 3 Female 34
## 535 454 2 Male 77
## 536 262 4 Male 37
## 537 1125 4 Male 32
## 538 470 3 Male 52
## 539 554 1 Female 62
## 540 1171 2 Male 45
## 541 1224 3 Male 49
## 542 1798 4 Male 90
## 543 224 3 Male 79
## 544 271 4 Male 88
## 545 804 3 Female 86
## 546 1701 2 Female 35
## 547 944 1 Female 51
## 548 832 1 Male 51
## 549 421 1 Female 81
## 550 1049 2 Male 36
## 551 734 4 Male 59
## 552 869 2 Male 63
## 553 1890 2 Male 94
## 554 945 4 Male 51
## 555 287 4 Male 63
## 556 656 4 Male 75
## 557 578 3 Female 42
## 558 649 2 Male 83
## 559 836 2 Male 98
## 560 476 3 Male 57
## 561 238 4 Male 30
## 562 1837 1 Male 87
## 563 1001 3 Female 37
## 564 1979 3 Female 40
## 565 806 4 Male 38
## 566 2020 2 Male 42
## 567 362 4 Male 84
## 568 1562 2 Male 64
## 569 936 3 Female 68
## 570 1005 4 Male 95
## 571 1909 3 Female 54
## 572 923 4 Female 65
## 573 1927 3 Male 42
## 574 1823 2 Male 92
## 575 641 1 Male 66
## 576 77 1 Male 51
## 577 1961 1 Male 59
## 578 1471 3 Male 90
## 579 1633 1 Female 81
## 580 1260 3 Male 82
## 581 1358 4 Male 67
## 582 468 1 Female 44
## 583 1766 2 Male 60
## 584 846 2 Female 81
## 585 40 4 Male 41
## 586 281 3 Male 99
## 587 107 2 Female 79
## 588 27 3 Male 82
## 589 1411 1 Female 94
## 590 75 3 Female 30
## 591 1605 2 Female 85
## 592 1489 1 Female 40
## 593 1486 1 Male 92
## 594 1617 3 Female 84
## 595 1628 1 Female 80
## 596 855 1 Male 48
## 597 899 4 Male 78
## 598 521 2 Female 78
## 599 2064 2 Male 87
## 600 45 2 Male 61
## 601 1495 4 Female 78
## 602 1574 4 Male 62
## 603 1015 2 Female 73
## 604 1192 2 Female 54
## 605 1752 2 Female 52
## 606 730 3 Male 59
## 607 91 1 Female 57
## 608 382 1 Female 44
## 609 1417 3 Male 100
## 610 1044 2 Female 88
## 611 1369 4 Female 60
## 612 616 1 Female 62
## 613 328 1 Female 39
## 614 959 4 Male 37
## 615 982 3 Male 62
## 616 1696 2 Male 57
## 617 1502 1 Female 82
## 618 68 2 Female 75
## 619 2062 4 Male 42
## 620 704 3 Male 41
## 621 137 4 Female 66
## 622 987 3 Male 64
## 623 797 2 Female 72
## 624 2040 3 Female 31
## 625 1504 3 Male 38
## 626 1259 1 Male 76
## 627 1445 4 Female 42
## 628 461 3 Male 92
## 629 1096 4 Male 65
## 630 717 4 Female 46
## 631 1873 2 Male 98
## 632 1950 1 Male 32
## 633 1036 2 Male 42
## 634 155 1 Female 39
## 635 451 3 Female 43
## 636 1185 4 Male 47
## 637 1109 4 Male 35
## 638 1951 4 Male 39
## 639 639 2 Male 89
## 640 667 3 Male 85
## 641 11 4 Male 67
## 642 1829 2 Female 47
## 643 1074 3 Male 40
## 644 1905 4 Male 85
## 645 1210 1 Male 95
## 646 215 3 Male 67
## 647 1156 3 Male 80
## 648 1718 4 Male 62
## 649 100 3 Male 32
## 650 1649 1 Male 73
## 651 1564 4 Male 68
## 652 1233 2 Male 52
## 653 1166 2 Female 88
## 654 473 1 Female 91
## 655 593 3 Male 99
## 656 390 1 Male 60
## 657 296 2 Male 81
## 658 1520 2 Female 87
## 659 466 4 Male 95
## 660 85 2 Male 95
## 661 772 1 Male 80
## 662 579 4 Male 62
## 663 1732 3 Male 74
## 664 1028 2 Male 45
## 665 60 2 Male 72
## 666 1753 4 Male 70
## 667 312 2 Female 42
## 668 584 1 Male 38
## 669 1309 4 Male 79
## 670 1250 4 Male 85
## 671 102 1 Male 30
## 672 1670 4 Male 93
## 673 1507 3 Male 55
## 674 881 4 Female 96
## 675 1647 2 Female 86
## 676 1280 4 Female 33
## 677 823 3 Female 35
## 678 1985 4 Female 73
## 679 2025 4 Female 97
## 680 941 2 Male 41
## 681 885 3 Male 87
## 682 525 4 Male 61
## 683 1682 1 Male 80
## 684 223 3 Male 83
## 685 221 3 Male 42
## 686 581 3 Male 33
## 687 1421 3 Female 84
## 688 305 3 Female 47
## 689 243 2 Male 47
## 690 1805 1 Male 100
## 691 1563 3 Male 71
## 692 376 1 Male 88
## 693 477 1 Male 98
## 694 514 3 Male 40
## 695 1700 3 Male 31
## 696 925 4 Female 65
## 697 1644 3 Male 89
## 698 304 4 Male 62
## 699 1624 2 Female 70
## 700 1217 4 Male 52
## 701 1865 4 Male 87
## 702 1163 2 Female 70
## 703 1243 3 Female 78
## 704 1818 4 Female 69
## 705 321 2 Male 52
## 706 599 4 Male 56
## 707 1830 4 Female 68
## 708 1461 4 Female 96
## 709 1782 4 Female 40
## 710 905 1 Male 98
## 711 1321 2 Female 95
## 712 568 1 Male 56
## 713 1258 4 Male 76
## 714 481 1 Male 48
## 715 789 1 Male 76
## 716 1714 4 Male 58
## 717 1179 3 Male 72
## 718 1097 3 Female 59
## 719 1667 4 Male 36
## 720 1121 4 Female 93
## 721 689 3 Male 36
## 722 1631 3 Male 85
## 723 1431 4 Male 91
## 724 1073 4 Female 51
## 725 1860 4 Male 81
## 726 350 1 Female 62
## 727 900 3 Female 54
## 728 277 4 Male 43
## 729 622 3 Male 66
## 730 169 3 Male 100
## 731 920 1 Female 55
## 732 445 4 Female 41
## 733 1944 1 Female 58
## 734 631 4 Male 60
## 735 1577 1 Male 35
## 736 1898 1 Female 89
## 737 2056 2 Female 60
## 738 1254 3 Female 48
## 739 975 3 Female 86
## 740 652 1 Male 54
## 741 183 1 Male 41
## 742 613 3 Male 44
## 743 1543 1 Male 47
## 744 1735 3 Female 51
## 745 2018 1 Female 85
## 746 1551 3 Male 57
## 747 1844 1 Male 56
## 748 1184 4 Male 97
## 749 1725 2 Male 91
## 750 242 3 Male 90
## 751 1077 4 Female 54
## 752 1331 4 Female 54
## 753 1606 2 Male 41
## 754 1869 3 Female 64
## 755 126 1 Female 60
## 756 744 1 Male 49
## 757 942 4 Female 51
## 758 1473 1 Male 96
## 759 1687 4 Female 87
## 760 1277 1 Female 94
## 761 994 4 Female 92
## 762 820 3 Female 33
## 763 1329 3 Male 40
## 764 1040 4 Female 95
## 765 847 3 Male 88
## 766 1611 3 Female 50
## 767 1085 2 Female 43
## 768 615 3 Male 58
## 769 1228 4 Male 60
## 770 1117 2 Female 65
## 771 446 2 Male 46
## 772 244 2 Female 92
## 773 343 3 Female 64
## 774 90 4 Male 79
## 775 1547 4 Male 40
## 776 784 1 Male 79
## 777 1499 3 Male 46
## 778 1190 3 Female 76
## 779 1693 4 Male 76
## 780 2027 1 Male 36
## 781 248 2 Female 70
## 782 721 4 Female 80
## 783 910 4 Male 57
## 784 1220 2 Female 82
## 785 1731 3 Male 87
## 786 1430 1 Female 93
## 787 1786 1 Female 53
## 788 433 3 Male 85
## 789 1770 3 Male 60
## 790 1303 4 Female 40
## 791 1509 3 Female 43
## 792 247 4 Female 95
## 793 1638 4 Female 54
## 794 83 3 Female 59
## 795 275 4 Male 92
## 796 702 1 Male 70
## 797 372 3 Male 79
## 798 1783 3 Female 79
## 799 1248 1 Female 96
## 800 1664 4 Male 79
## 801 52 3 Female 42
## 802 604 2 Male 77
## 803 429 3 Male 99
## 804 1100 4 Male 86
## 805 132 2 Male 67
## 806 1790 4 Male 90
## 807 1399 1 Male 93
## 808 217 3 Male 80
## 809 1729 2 Male 33
## 810 233 3 Male 51
## 811 239 3 Male 66
## 812 1415 1 Male 81
## 813 507 4 Female 77
## 814 1625 4 Female 98
## 815 893 2 Male 98
## 816 1238 1 Male 60
## 817 833 3 Female 52
## 818 817 3 Male 49
## 819 198 2 Male 35
## 820 1933 4 Female 84
## 821 1607 2 Female 35
## 822 349 4 Male 45
## 823 2035 4 Female 95
## 824 1160 3 Male 72
## 825 1614 3 Female 76
## 826 1069 4 Male 40
## 827 1761 1 Male 70
## 828 1281 3 Female 86
## 829 1760 3 Female 75
## 830 644 1 Male 99
## 831 1002 4 Male 42
## 832 167 4 Male 50
## 833 1216 4 Male 78
## 834 1193 3 Male 54
## 835 1278 4 Male 37
## 836 626 1 Male 69
## 837 1394 3 Male 54
## 838 621 4 Male 74
## 839 1827 3 Female 92
## 840 1867 4 Male 91
## 841 405 3 Male 54
## 842 1419 2 Male 51
## 843 867 3 Female 81
## 844 1344 4 Male 86
## 845 1779 4 Female 32
## 846 536 3 Male 79
## 847 201 2 Female 79
## 848 417 3 Male 48
## 849 492 3 Male 68
## 850 1918 3 Male 61
## 851 175 2 Female 71
## 852 41 4 Male 83
## 853 15 4 Female 49
## 854 412 2 Male 68
## 855 1886 4 Female 44
## 856 1492 4 Male 76
## 857 297 4 Female 88
## 858 442 3 Female 48
## 859 200 3 Male 94
## 860 1295 1 Female 73
## 861 1297 2 Female 40
## 862 1293 4 Female 56
## 863 502 1 Male 67
## 864 746 4 Female 49
## 865 1465 2 Male 55
## 866 1363 4 Male 54
## 867 333 3 Male 100
## 868 1503 3 Female 78
## 869 1195 1 Female 83
## 870 269 2 Female 37
## JobInvolvement JobLevel JobRole JobSatisfaction
## 1 3 2 Sales Executive 4
## 2 2 5 Research Director 3
## 3 3 3 Manufacturing Director 4
## 4 3 3 Sales Executive 4
## 5 3 1 Research Scientist 4
## 6 3 3 Manufacturing Director 1
## 7 4 1 Research Scientist 3
## 8 2 2 Sales Executive 4
## 9 3 1 Sales Representative 3
## 10 2 2 Healthcare Representative 3
## 11 2 5 Manager 3
## 12 3 1 Human Resources 4
## 13 3 3 Manufacturing Director 3
## 14 3 1 Sales Representative 2
## 15 3 1 Human Resources 1
## 16 3 2 Sales Executive 3
## 17 3 2 Manufacturing Director 1
## 18 3 2 Manufacturing Director 3
## 19 4 1 Research Scientist 4
## 20 4 2 Healthcare Representative 1
## 21 2 2 Manufacturing Director 2
## 22 4 2 Sales Executive 2
## 23 3 2 Laboratory Technician 3
## 24 3 2 Sales Executive 1
## 25 2 2 Healthcare Representative 4
## 26 3 5 Manager 2
## 27 3 2 Sales Executive 2
## 28 3 2 Sales Executive 1
## 29 3 3 Sales Executive 1
## 30 3 1 Research Scientist 4
## 31 1 2 Sales Executive 4
## 32 4 1 Laboratory Technician 2
## 33 1 4 Manager 2
## 34 2 1 Laboratory Technician 3
## 35 2 2 Manufacturing Director 4
## 36 4 1 Laboratory Technician 2
## 37 2 3 Sales Executive 1
## 38 2 2 Sales Executive 1
## 39 3 5 Manager 2
## 40 4 1 Sales Representative 4
## 41 3 4 Manager 2
## 42 1 2 Sales Representative 3
## 43 3 1 Laboratory Technician 1
## 44 2 5 Manager 4
## 45 3 1 Research Scientist 3
## 46 3 1 Laboratory Technician 4
## 47 1 2 Sales Executive 2
## 48 2 3 Sales Executive 3
## 49 3 1 Sales Representative 2
## 50 3 1 Research Scientist 2
## 51 3 1 Research Scientist 1
## 52 3 5 Research Director 1
## 53 4 1 Research Scientist 4
## 54 3 2 Laboratory Technician 2
## 55 3 2 Manufacturing Director 4
## 56 3 1 Laboratory Technician 1
## 57 4 1 Research Scientist 3
## 58 3 1 Laboratory Technician 1
## 59 3 3 Research Director 4
## 60 1 1 Sales Representative 4
## 61 2 3 Sales Executive 4
## 62 3 3 Healthcare Representative 3
## 63 3 1 Sales Representative 3
## 64 3 1 Research Scientist 3
## 65 3 1 Laboratory Technician 2
## 66 4 1 Research Scientist 2
## 67 1 2 Research Scientist 4
## 68 3 1 Laboratory Technician 4
## 69 3 1 Research Scientist 1
## 70 3 1 Research Scientist 4
## 71 3 1 Research Scientist 4
## 72 3 2 Sales Executive 1
## 73 2 2 Manufacturing Director 3
## 74 3 1 Laboratory Technician 4
## 75 3 3 Sales Executive 2
## 76 3 2 Laboratory Technician 4
## 77 2 3 Sales Executive 3
## 78 4 4 Manager 1
## 79 2 3 Sales Executive 4
## 80 1 1 Laboratory Technician 4
## 81 1 2 Healthcare Representative 2
## 82 3 2 Manufacturing Director 3
## 83 2 2 Manufacturing Director 3
## 84 4 2 Research Scientist 1
## 85 3 2 Manufacturing Director 2
## 86 2 4 Manufacturing Director 4
## 87 3 2 Sales Executive 1
## 88 2 1 Laboratory Technician 2
## 89 3 3 Sales Executive 3
## 90 3 5 Manager 1
## 91 3 1 Laboratory Technician 4
## 92 2 3 Sales Executive 1
## 93 2 1 Laboratory Technician 3
## 94 3 2 Healthcare Representative 3
## 95 3 5 Manager 2
## 96 3 2 Sales Executive 3
## 97 3 4 Manager 2
## 98 2 2 Healthcare Representative 4
## 99 3 1 Laboratory Technician 2
## 100 2 1 Laboratory Technician 2
## 101 3 1 Laboratory Technician 1
## 102 3 3 Sales Executive 4
## 103 3 2 Sales Executive 3
## 104 4 1 Research Scientist 1
## 105 4 4 Research Director 2
## 106 4 1 Laboratory Technician 4
## 107 3 2 Manufacturing Director 3
## 108 4 5 Manager 2
## 109 3 2 Healthcare Representative 2
## 110 3 1 Research Scientist 1
## 111 2 1 Research Scientist 3
## 112 3 4 Manager 4
## 113 3 3 Healthcare Representative 2
## 114 3 2 Healthcare Representative 1
## 115 3 2 Sales Executive 1
## 116 3 3 Sales Executive 2
## 117 3 2 Sales Executive 4
## 118 2 2 Laboratory Technician 2
## 119 3 1 Research Scientist 3
## 120 3 2 Healthcare Representative 4
## 121 4 3 Research Director 1
## 122 3 1 Sales Representative 1
## 123 3 3 Sales Executive 1
## 124 2 2 Sales Executive 4
## 125 3 2 Sales Executive 4
## 126 3 2 Sales Executive 4
## 127 1 1 Research Scientist 1
## 128 2 2 Manufacturing Director 4
## 129 2 2 Research Scientist 3
## 130 4 4 Sales Executive 1
## 131 2 2 Sales Executive 2
## 132 3 2 Sales Executive 4
## 133 2 2 Healthcare Representative 4
## 134 3 2 Manufacturing Director 2
## 135 2 2 Laboratory Technician 3
## 136 4 2 Healthcare Representative 2
## 137 2 1 Laboratory Technician 1
## 138 3 3 Manufacturing Director 3
## 139 3 1 Laboratory Technician 1
## 140 3 3 Sales Executive 4
## 141 3 4 Manufacturing Director 2
## 142 3 1 Research Scientist 3
## 143 3 3 Manufacturing Director 3
## 144 3 2 Sales Executive 4
## 145 4 2 Healthcare Representative 3
## 146 3 2 Sales Executive 3
## 147 3 1 Research Scientist 2
## 148 3 2 Sales Executive 1
## 149 3 1 Laboratory Technician 2
## 150 1 2 Manufacturing Director 1
## 151 3 2 Sales Executive 1
## 152 3 2 Sales Executive 4
## 153 2 2 Sales Executive 3
## 154 4 2 Healthcare Representative 2
## 155 3 1 Laboratory Technician 2
## 156 3 2 Sales Executive 3
## 157 3 2 Sales Executive 2
## 158 3 4 Healthcare Representative 4
## 159 3 3 Manufacturing Director 1
## 160 3 3 Research Director 1
## 161 2 2 Laboratory Technician 4
## 162 2 3 Healthcare Representative 1
## 163 3 2 Sales Executive 3
## 164 4 2 Research Scientist 1
## 165 3 3 Sales Executive 2
## 166 2 1 Sales Representative 3
## 167 3 4 Research Director 2
## 168 4 4 Research Director 3
## 169 3 2 Research Scientist 1
## 170 3 1 Research Scientist 4
## 171 3 2 Sales Executive 4
## 172 3 2 Research Scientist 2
## 173 3 3 Healthcare Representative 3
## 174 4 3 Sales Executive 3
## 175 3 4 Manager 3
## 176 2 1 Research Scientist 2
## 177 3 5 Manager 1
## 178 3 1 Research Scientist 1
## 179 3 3 Sales Executive 4
## 180 2 2 Sales Executive 4
## 181 2 3 Manufacturing Director 2
## 182 3 2 Sales Executive 1
## 183 4 1 Research Scientist 3
## 184 3 3 Manufacturing Director 2
## 185 3 1 Laboratory Technician 3
## 186 3 1 Research Scientist 4
## 187 4 2 Manufacturing Director 3
## 188 4 4 Manager 2
## 189 3 5 Research Director 2
## 190 3 2 Sales Executive 3
## 191 3 2 Research Scientist 4
## 192 3 3 Sales Executive 1
## 193 3 2 Manufacturing Director 3
## 194 3 2 Sales Executive 4
## 195 2 1 Research Scientist 4
## 196 3 1 Research Scientist 4
## 197 3 1 Laboratory Technician 4
## 198 2 4 Sales Executive 2
## 199 2 3 Healthcare Representative 4
## 200 2 1 Laboratory Technician 2
## 201 4 4 Sales Executive 2
## 202 3 2 Research Scientist 2
## 203 2 2 Manufacturing Director 3
## 204 1 1 Research Scientist 2
## 205 3 1 Sales Representative 2
## 206 3 1 Research Scientist 1
## 207 1 2 Sales Executive 3
## 208 3 2 Healthcare Representative 1
## 209 3 1 Research Scientist 1
## 210 3 3 Sales Executive 3
## 211 2 4 Manufacturing Director 2
## 212 3 5 Manager 3
## 213 4 1 Research Scientist 4
## 214 2 2 Manufacturing Director 4
## 215 2 1 Research Scientist 4
## 216 3 1 Research Scientist 3
## 217 3 2 Healthcare Representative 3
## 218 3 4 Manager 4
## 219 3 1 Research Scientist 3
## 220 3 1 Research Scientist 4
## 221 3 2 Sales Executive 4
## 222 3 2 Sales Executive 1
## 223 3 2 Sales Executive 4
## 224 2 1 Research Scientist 3
## 225 3 1 Research Scientist 4
## 226 3 1 Laboratory Technician 2
## 227 3 1 Laboratory Technician 4
## 228 4 1 Research Scientist 2
## 229 3 2 Sales Executive 3
## 230 2 4 Healthcare Representative 3
## 231 2 2 Manufacturing Director 4
## 232 3 1 Sales Representative 4
## 233 1 4 Sales Executive 3
## 234 3 2 Sales Executive 1
## 235 3 4 Manager 4
## 236 2 3 Sales Executive 3
## 237 3 5 Manager 3
## 238 3 2 Research Scientist 4
## 239 3 1 Human Resources 2
## 240 2 3 Research Director 1
## 241 3 3 Manufacturing Director 1
## 242 3 5 Manager 2
## 243 3 1 Research Scientist 2
## 244 2 1 Sales Representative 1
## 245 2 2 Manufacturing Director 4
## 246 2 1 Laboratory Technician 4
## 247 3 3 Manufacturing Director 4
## 248 2 1 Sales Representative 2
## 249 3 2 Research Scientist 4
## 250 3 4 Manager 1
## 251 2 1 Laboratory Technician 3
## 252 3 2 Sales Executive 4
## 253 2 1 Research Scientist 3
## 254 4 1 Human Resources 1
## 255 2 3 Research Director 2
## 256 3 1 Research Scientist 3
## 257 3 1 Sales Representative 2
## 258 3 2 Sales Executive 1
## 259 3 3 Sales Executive 4
## 260 3 1 Laboratory Technician 3
## 261 2 1 Sales Representative 4
## 262 2 1 Research Scientist 1
## 263 3 1 Laboratory Technician 4
## 264 3 1 Sales Representative 4
## 265 3 1 Laboratory Technician 3
## 266 4 1 Laboratory Technician 2
## 267 3 4 Research Director 1
## 268 3 1 Laboratory Technician 2
## 269 3 2 Healthcare Representative 3
## 270 3 2 Manufacturing Director 1
## 271 3 2 Sales Executive 3
## 272 3 2 Research Scientist 2
## 273 2 2 Sales Representative 3
## 274 2 2 Sales Executive 1
## 275 4 5 Research Director 2
## 276 3 5 Manager 1
## 277 3 1 Research Scientist 2
## 278 3 1 Laboratory Technician 4
## 279 2 2 Sales Executive 3
## 280 3 2 Healthcare Representative 3
## 281 3 2 Sales Executive 4
## 282 3 1 Laboratory Technician 1
## 283 3 2 Healthcare Representative 4
## 284 3 2 Sales Executive 4
## 285 4 1 Human Resources 3
## 286 3 2 Laboratory Technician 3
## 287 3 1 Research Scientist 2
## 288 3 1 Laboratory Technician 4
## 289 3 3 Sales Executive 4
## 290 3 1 Sales Representative 4
## 291 3 1 Laboratory Technician 4
## 292 3 2 Laboratory Technician 2
## 293 3 1 Research Scientist 2
## 294 3 3 Research Director 2
## 295 3 4 Manager 4
## 296 3 1 Laboratory Technician 3
## 297 2 2 Manufacturing Director 3
## 298 1 2 Laboratory Technician 3
## 299 2 1 Research Scientist 1
## 300 1 1 Research Scientist 4
## 301 3 2 Sales Executive 2
## 302 3 3 Sales Executive 1
## 303 2 1 Research Scientist 2
## 304 3 2 Research Scientist 3
## 305 3 1 Research Scientist 3
## 306 2 1 Laboratory Technician 4
## 307 3 1 Laboratory Technician 4
## 308 2 1 Research Scientist 4
## 309 3 2 Healthcare Representative 2
## 310 4 2 Sales Executive 2
## 311 3 2 Research Scientist 4
## 312 3 4 Manufacturing Director 3
## 313 3 1 Research Scientist 3
## 314 2 2 Manufacturing Director 3
## 315 3 2 Sales Executive 1
## 316 3 2 Sales Executive 4
## 317 3 1 Sales Representative 3
## 318 2 2 Healthcare Representative 3
## 319 2 2 Sales Executive 4
## 320 4 1 Research Scientist 4
## 321 2 1 Laboratory Technician 2
## 322 3 1 Research Scientist 4
## 323 2 1 Research Scientist 4
## 324 2 2 Research Scientist 1
## 325 2 4 Manufacturing Director 4
## 326 3 1 Research Scientist 3
## 327 3 5 Research Director 4
## 328 3 2 Research Scientist 1
## 329 2 2 Research Scientist 2
## 330 3 4 Manager 1
## 331 3 4 Manager 3
## 332 1 3 Sales Executive 4
## 333 3 1 Research Scientist 2
## 334 3 3 Manufacturing Director 1
## 335 2 5 Manager 4
## 336 2 2 Research Scientist 3
## 337 3 2 Sales Executive 4
## 338 3 2 Healthcare Representative 4
## 339 3 2 Sales Executive 3
## 340 3 1 Laboratory Technician 1
## 341 2 1 Research Scientist 1
## 342 2 1 Laboratory Technician 4
## 343 2 3 Healthcare Representative 4
## 344 3 1 Research Scientist 3
## 345 3 2 Sales Executive 1
## 346 3 4 Sales Executive 1
## 347 3 2 Manufacturing Director 3
## 348 3 2 Manufacturing Director 2
## 349 1 1 Research Scientist 3
## 350 3 4 Healthcare Representative 4
## 351 3 3 Research Director 1
## 352 4 2 Sales Executive 4
## 353 2 2 Research Scientist 4
## 354 3 2 Healthcare Representative 4
## 355 3 3 Sales Executive 3
## 356 1 2 Sales Executive 1
## 357 2 1 Research Scientist 2
## 358 2 1 Research Scientist 2
## 359 3 2 Manufacturing Director 4
## 360 3 1 Laboratory Technician 4
## 361 2 5 Manager 3
## 362 4 1 Sales Representative 1
## 363 1 5 Manager 4
## 364 3 5 Research Director 3
## 365 1 5 Manager 3
## 366 4 4 Sales Executive 1
## 367 3 2 Laboratory Technician 2
## 368 3 2 Sales Executive 1
## 369 4 1 Research Scientist 3
## 370 4 2 Research Scientist 4
## 371 3 2 Manufacturing Director 1
## 372 3 3 Sales Executive 1
## 373 3 3 Laboratory Technician 1
## 374 3 1 Research Scientist 2
## 375 3 1 Sales Representative 1
## 376 1 4 Research Director 4
## 377 4 1 Laboratory Technician 1
## 378 3 2 Sales Executive 4
## 379 1 1 Research Scientist 4
## 380 3 1 Research Scientist 3
## 381 3 5 Research Director 3
## 382 3 1 Human Resources 3
## 383 3 2 Sales Executive 1
## 384 3 1 Sales Representative 1
## 385 3 1 Research Scientist 3
## 386 3 3 Research Director 1
## 387 3 3 Sales Executive 3
## 388 3 2 Manufacturing Director 4
## 389 3 2 Sales Representative 4
## 390 2 1 Sales Representative 2
## 391 3 2 Sales Executive 1
## 392 2 2 Sales Executive 4
## 393 3 1 Research Scientist 1
## 394 2 3 Sales Executive 1
## 395 3 1 Research Scientist 4
## 396 3 1 Research Scientist 4
## 397 3 4 Research Director 3
## 398 3 1 Human Resources 3
## 399 3 2 Healthcare Representative 3
## 400 3 3 Manufacturing Director 3
## 401 1 2 Manufacturing Director 4
## 402 3 2 Manufacturing Director 3
## 403 3 1 Laboratory Technician 3
## 404 3 3 Healthcare Representative 1
## 405 2 1 Research Scientist 1
## 406 2 4 Research Director 4
## 407 2 2 Sales Executive 4
## 408 1 1 Laboratory Technician 3
## 409 2 4 Manager 4
## 410 3 4 Research Director 1
## 411 2 1 Human Resources 1
## 412 3 3 Sales Executive 3
## 413 3 1 Research Scientist 2
## 414 3 2 Sales Executive 4
## 415 1 1 Sales Representative 3
## 416 3 2 Manufacturing Director 4
## 417 3 1 Laboratory Technician 4
## 418 4 1 Laboratory Technician 4
## 419 2 2 Manufacturing Director 4
## 420 2 3 Research Director 3
## 421 3 2 Manufacturing Director 2
## 422 3 2 Research Scientist 3
## 423 1 2 Sales Executive 3
## 424 3 1 Laboratory Technician 4
## 425 2 2 Sales Executive 1
## 426 2 3 Sales Executive 4
## 427 3 1 Research Scientist 3
## 428 2 1 Research Scientist 3
## 429 2 1 Laboratory Technician 3
## 430 2 2 Manufacturing Director 1
## 431 3 2 Sales Executive 3
## 432 3 1 Research Scientist 3
## 433 2 2 Laboratory Technician 1
## 434 2 1 Research Scientist 1
## 435 2 3 Sales Executive 2
## 436 3 2 Sales Executive 2
## 437 3 1 Research Scientist 3
## 438 3 1 Laboratory Technician 1
## 439 2 1 Sales Representative 3
## 440 4 2 Healthcare Representative 4
## 441 3 2 Research Scientist 3
## 442 3 1 Laboratory Technician 3
## 443 3 1 Laboratory Technician 3
## 444 3 1 Human Resources 4
## 445 3 5 Research Director 4
## 446 3 1 Research Scientist 4
## 447 3 2 Research Scientist 4
## 448 4 2 Healthcare Representative 1
## 449 3 2 Laboratory Technician 4
## 450 2 2 Sales Executive 1
## 451 3 2 Healthcare Representative 4
## 452 3 1 Research Scientist 2
## 453 3 2 Sales Executive 4
## 454 3 2 Sales Executive 3
## 455 2 4 Manager 1
## 456 3 5 Manager 2
## 457 3 2 Sales Executive 4
## 458 3 2 Sales Executive 4
## 459 3 1 Research Scientist 1
## 460 2 2 Laboratory Technician 4
## 461 3 1 Laboratory Technician 3
## 462 3 1 Laboratory Technician 2
## 463 3 3 Sales Executive 4
## 464 3 2 Manufacturing Director 4
## 465 2 1 Research Scientist 3
## 466 3 1 Research Scientist 4
## 467 3 1 Sales Representative 4
## 468 4 1 Laboratory Technician 4
## 469 1 2 Sales Executive 1
## 470 4 2 Manufacturing Director 1
## 471 3 1 Research Scientist 2
## 472 2 1 Research Scientist 4
## 473 3 3 Research Director 1
## 474 3 1 Research Scientist 4
## 475 3 1 Laboratory Technician 3
## 476 3 2 Sales Executive 4
## 477 2 2 Sales Executive 3
## 478 3 2 Sales Executive 3
## 479 3 1 Laboratory Technician 1
## 480 4 3 Research Director 4
## 481 3 2 Healthcare Representative 1
## 482 3 1 Research Scientist 4
## 483 2 2 Research Scientist 4
## 484 3 1 Research Scientist 1
## 485 3 3 Healthcare Representative 4
## 486 3 2 Sales Executive 4
## 487 3 1 Sales Representative 4
## 488 3 1 Research Scientist 3
## 489 2 3 Laboratory Technician 3
## 490 3 2 Healthcare Representative 3
## 491 3 5 Research Director 1
## 492 3 4 Research Director 1
## 493 2 2 Sales Executive 3
## 494 2 3 Healthcare Representative 2
## 495 2 2 Sales Executive 3
## 496 3 4 Manager 3
## 497 3 1 Research Scientist 4
## 498 3 1 Research Scientist 4
## 499 3 2 Healthcare Representative 3
## 500 1 2 Sales Executive 3
## 501 2 3 Manufacturing Director 1
## 502 2 1 Laboratory Technician 3
## 503 3 1 Sales Representative 3
## 504 4 3 Manufacturing Director 1
## 505 3 4 Research Director 3
## 506 2 2 Research Scientist 2
## 507 3 1 Sales Representative 3
## 508 3 3 Sales Executive 2
## 509 3 1 Sales Representative 4
## 510 3 5 Research Director 3
## 511 3 2 Sales Executive 4
## 512 3 3 Healthcare Representative 3
## 513 3 1 Research Scientist 3
## 514 3 3 Research Director 4
## 515 3 1 Sales Representative 4
## 516 1 2 Manufacturing Director 2
## 517 2 1 Sales Representative 2
## 518 3 1 Laboratory Technician 2
## 519 2 2 Laboratory Technician 4
## 520 3 1 Laboratory Technician 4
## 521 2 1 Research Scientist 4
## 522 3 1 Laboratory Technician 2
## 523 3 3 Research Scientist 1
## 524 2 5 Research Director 3
## 525 2 1 Research Scientist 4
## 526 2 3 Sales Executive 2
## 527 3 2 Sales Executive 1
## 528 3 2 Healthcare Representative 1
## 529 2 1 Research Scientist 3
## 530 3 1 Research Scientist 2
## 531 2 3 Healthcare Representative 3
## 532 3 2 Sales Executive 3
## 533 4 1 Research Scientist 3
## 534 3 2 Healthcare Representative 4
## 535 1 1 Laboratory Technician 1
## 536 4 1 Research Scientist 4
## 537 3 3 Sales Executive 2
## 538 3 1 Human Resources 3
## 539 3 1 Sales Representative 2
## 540 3 2 Sales Executive 1
## 541 3 2 Laboratory Technician 3
## 542 4 1 Research Scientist 1
## 543 2 1 Research Scientist 3
## 544 3 2 Manufacturing Director 3
## 545 2 1 Research Scientist 1
## 546 2 1 Research Scientist 4
## 547 3 3 Laboratory Technician 2
## 548 2 2 Laboratory Technician 3
## 549 2 3 Research Director 2
## 550 3 1 Human Resources 2
## 551 2 5 Manager 3
## 552 2 1 Human Resources 4
## 553 2 2 Human Resources 4
## 554 3 1 Research Scientist 3
## 555 2 2 Healthcare Representative 4
## 556 3 2 Sales Executive 3
## 557 3 2 Laboratory Technician 3
## 558 2 1 Research Scientist 4
## 559 3 2 Manufacturing Director 2
## 560 3 2 Sales Executive 3
## 561 3 1 Laboratory Technician 2
## 562 3 4 Research Director 3
## 563 3 1 Laboratory Technician 2
## 564 3 3 Research Director 3
## 565 1 1 Laboratory Technician 3
## 566 3 1 Research Scientist 4
## 567 2 2 Laboratory Technician 1
## 568 2 2 Sales Executive 1
## 569 2 2 Sales Executive 3
## 570 3 4 Manufacturing Director 3
## 571 3 2 Sales Executive 2
## 572 3 1 Research Scientist 4
## 573 2 2 Sales Executive 4
## 574 4 2 Sales Executive 3
## 575 3 2 Sales Executive 2
## 576 2 2 Manufacturing Director 3
## 577 2 1 Sales Representative 1
## 578 2 1 Laboratory Technician 3
## 579 3 2 Manufacturing Director 3
## 580 3 2 Healthcare Representative 4
## 581 3 1 Laboratory Technician 4
## 582 3 4 Research Director 4
## 583 1 2 Healthcare Representative 4
## 584 3 2 Sales Executive 2
## 585 3 2 Healthcare Representative 4
## 586 3 2 Laboratory Technician 4
## 587 1 2 Research Scientist 4
## 588 2 1 Sales Representative 1
## 589 3 1 Laboratory Technician 3
## 590 3 1 Laboratory Technician 1
## 591 2 1 Research Scientist 3
## 592 2 2 Sales Executive 2
## 593 3 1 Sales Representative 3
## 594 3 1 Laboratory Technician 1
## 595 2 3 Manufacturing Director 3
## 596 4 2 Sales Executive 1
## 597 2 3 Manufacturing Director 2
## 598 2 2 Laboratory Technician 3
## 599 4 2 Manufacturing Director 2
## 600 3 1 Research Scientist 4
## 601 3 1 Sales Representative 2
## 602 3 2 Research Scientist 1
## 603 4 3 Research Director 1
## 604 3 1 Laboratory Technician 4
## 605 1 1 Sales Representative 2
## 606 4 4 Research Director 3
## 607 2 2 Sales Executive 3
## 608 4 2 Sales Executive 1
## 609 4 1 Laboratory Technician 1
## 610 2 1 Sales Representative 4
## 611 2 2 Laboratory Technician 4
## 612 2 2 Healthcare Representative 3
## 613 3 1 Laboratory Technician 1
## 614 2 1 Sales Representative 2
## 615 3 3 Sales Executive 3
## 616 2 2 Laboratory Technician 4
## 617 2 1 Laboratory Technician 2
## 618 3 2 Sales Executive 1
## 619 2 3 Healthcare Representative 1
## 620 2 1 Laboratory Technician 3
## 621 2 1 Laboratory Technician 4
## 622 4 2 Manufacturing Director 3
## 623 4 1 Research Scientist 4
## 624 3 3 Human Resources 4
## 625 2 1 Laboratory Technician 1
## 626 3 1 Research Scientist 3
## 627 3 2 Sales Executive 3
## 628 2 3 Research Director 4
## 629 3 3 Manufacturing Director 2
## 630 2 3 Healthcare Representative 2
## 631 2 1 Research Scientist 4
## 632 3 3 Sales Executive 4
## 633 3 2 Sales Executive 4
## 634 3 1 Laboratory Technician 4
## 635 3 3 Healthcare Representative 1
## 636 2 1 Laboratory Technician 4
## 637 3 4 Manager 1
## 638 3 3 Sales Executive 3
## 639 4 1 Research Scientist 4
## 640 3 1 Sales Representative 1
## 641 3 1 Laboratory Technician 3
## 642 3 2 Healthcare Representative 1
## 643 2 4 Manager 1
## 644 1 1 Research Scientist 1
## 645 2 1 Research Scientist 1
## 646 2 3 Sales Executive 4
## 647 3 1 Laboratory Technician 3
## 648 1 1 Laboratory Technician 3
## 649 2 2 Sales Executive 1
## 650 3 1 Laboratory Technician 1
## 651 2 1 Laboratory Technician 1
## 652 4 2 Sales Executive 4
## 653 3 3 Research Director 3
## 654 3 3 Manager 3
## 655 2 1 Laboratory Technician 3
## 656 3 2 Healthcare Representative 1
## 657 2 3 Research Director 2
## 658 3 4 Manager 4
## 659 2 2 Manufacturing Director 2
## 660 2 2 Manufacturing Director 2
## 661 3 2 Laboratory Technician 4
## 662 2 1 Research Scientist 3
## 663 3 3 Sales Executive 4
## 664 3 1 Laboratory Technician 4
## 665 3 2 Sales Executive 3
## 666 4 2 Healthcare Representative 3
## 667 3 3 Sales Executive 4
## 668 1 1 Laboratory Technician 4
## 669 3 2 Laboratory Technician 3
## 670 3 4 Research Director 4
## 671 3 3 Research Director 3
## 672 3 2 Sales Executive 4
## 673 3 2 Sales Executive 1
## 674 3 1 Research Scientist 2
## 675 4 1 Research Scientist 3
## 676 2 5 Manager 2
## 677 3 2 Manufacturing Director 2
## 678 3 2 Laboratory Technician 3
## 679 3 2 Manufacturing Director 2
## 680 2 1 Sales Representative 3
## 681 2 2 Sales Executive 1
## 682 3 1 Laboratory Technician 4
## 683 3 2 Healthcare Representative 3
## 684 4 3 Healthcare Representative 4
## 685 3 1 Research Scientist 4
## 686 3 3 Manufacturing Director 2
## 687 3 3 Healthcare Representative 4
## 688 2 1 Research Scientist 2
## 689 2 1 Laboratory Technician 4
## 690 3 1 Human Resources 2
## 691 3 2 Human Resources 3
## 692 3 3 Manager 2
## 693 2 2 Healthcare Representative 4
## 694 3 1 Research Scientist 4
## 695 1 2 Sales Executive 4
## 696 2 1 Sales Representative 4
## 697 2 4 Manager 4
## 698 3 2 Laboratory Technician 2
## 699 3 1 Sales Representative 4
## 700 3 5 Research Director 2
## 701 2 1 Human Resources 2
## 702 3 2 Sales Executive 3
## 703 2 3 Sales Executive 4
## 704 3 1 Human Resources 2
## 705 3 1 Human Resources 3
## 706 3 2 Sales Executive 4
## 707 3 2 Research Scientist 4
## 708 4 1 Human Resources 2
## 709 2 1 Laboratory Technician 3
## 710 3 4 Manager 1
## 711 3 3 Manager 1
## 712 2 4 Manager 4
## 713 4 1 Laboratory Technician 2
## 714 2 3 Sales Executive 4
## 715 2 3 Sales Executive 1
## 716 1 1 Human Resources 3
## 717 2 2 Sales Executive 3
## 718 3 2 Research Scientist 3
## 719 3 2 Sales Executive 4
## 720 3 3 Manufacturing Director 2
## 721 3 3 Manufacturing Director 3
## 722 3 2 Manufacturing Director 3
## 723 3 1 Research Scientist 1
## 724 2 3 Manufacturing Director 4
## 725 3 1 Laboratory Technician 3
## 726 3 2 Manufacturing Director 3
## 727 3 1 Sales Representative 4
## 728 3 1 Research Scientist 3
## 729 1 1 Laboratory Technician 4
## 730 3 1 Laboratory Technician 4
## 731 3 2 Manufacturing Director 2
## 732 3 2 Sales Executive 3
## 733 2 1 Human Resources 2
## 734 4 2 Sales Executive 3
## 735 3 1 Research Scientist 4
## 736 4 2 Sales Executive 3
## 737 2 4 Sales Executive 4
## 738 2 2 Sales Executive 4
## 739 3 2 Sales Executive 3
## 740 2 2 Laboratory Technician 4
## 741 2 2 Sales Executive 3
## 742 2 3 Manager 4
## 743 3 2 Research Scientist 4
## 744 3 1 Laboratory Technician 2
## 745 3 2 Sales Executive 3
## 746 2 1 Laboratory Technician 1
## 747 2 1 Human Resources 1
## 748 2 2 Healthcare Representative 1
## 749 3 1 Laboratory Technician 1
## 750 3 1 Research Scientist 4
## 751 3 1 Sales Representative 4
## 752 3 1 Sales Representative 2
## 753 3 4 Healthcare Representative 3
## 754 3 3 Sales Executive 2
## 755 3 3 Research Director 3
## 756 1 1 Laboratory Technician 3
## 757 3 2 Healthcare Representative 4
## 758 3 2 Healthcare Representative 3
## 759 3 1 Laboratory Technician 3
## 760 1 5 Manager 2
## 761 2 1 Research Scientist 1
## 762 3 4 Manager 4
## 763 1 2 Sales Executive 2
## 764 3 2 Sales Executive 3
## 765 3 1 Human Resources 4
## 766 1 2 Laboratory Technician 1
## 767 4 1 Research Scientist 3
## 768 1 3 Sales Executive 1
## 769 3 2 Manufacturing Director 4
## 770 2 2 Sales Executive 3
## 771 2 2 Sales Executive 4
## 772 3 3 Sales Executive 1
## 773 3 3 Healthcare Representative 3
## 774 2 1 Research Scientist 3
## 775 3 3 Healthcare Representative 4
## 776 4 1 Research Scientist 3
## 777 3 1 Human Resources 3
## 778 3 1 Sales Representative 1
## 779 3 1 Laboratory Technician 4
## 780 3 1 Research Scientist 4
## 781 3 1 Sales Representative 2
## 782 2 2 Healthcare Representative 3
## 783 3 1 Human Resources 2
## 784 3 2 Sales Executive 3
## 785 3 2 Sales Executive 2
## 786 3 4 Research Director 2
## 787 3 3 Manager 3
## 788 2 2 Research Scientist 2
## 789 2 5 Research Director 1
## 790 3 1 Research Scientist 2
## 791 2 2 Laboratory Technician 1
## 792 3 1 Research Scientist 2
## 793 2 3 Manufacturing Director 3
## 794 3 3 Healthcare Representative 3
## 795 3 2 Manufacturing Director 4
## 796 3 1 Research Scientist 1
## 797 3 4 Healthcare Representative 4
## 798 3 1 Laboratory Technician 1
## 799 2 1 Research Scientist 2
## 800 4 2 Healthcare Representative 1
## 801 4 2 Sales Executive 1
## 802 3 2 Sales Executive 4
## 803 3 4 Manager 1
## 804 3 3 Sales Executive 1
## 805 3 2 Laboratory Technician 2
## 806 3 3 Healthcare Representative 1
## 807 4 2 Sales Executive 3
## 808 3 1 Research Scientist 4
## 809 3 1 Research Scientist 4
## 810 3 1 Research Scientist 2
## 811 3 2 Laboratory Technician 1
## 812 3 1 Laboratory Technician 4
## 813 3 2 Sales Executive 3
## 814 3 5 Manager 3
## 815 2 1 Sales Representative 2
## 816 3 1 Research Scientist 4
## 817 2 2 Manufacturing Director 4
## 818 3 3 Research Director 3
## 819 2 1 Laboratory Technician 4
## 820 3 2 Sales Executive 3
## 821 4 1 Research Scientist 4
## 822 3 2 Sales Executive 4
## 823 2 2 Sales Executive 3
## 824 3 1 Laboratory Technician 3
## 825 3 2 Manufacturing Director 3
## 826 3 5 Research Director 4
## 827 3 3 Sales Executive 3
## 828 3 2 Sales Executive 1
## 829 2 1 Laboratory Technician 2
## 830 3 5 Manager 2
## 831 3 2 Laboratory Technician 1
## 832 3 1 Sales Representative 3
## 833 2 1 Laboratory Technician 1
## 834 3 1 Research Scientist 1
## 835 2 4 Healthcare Representative 2
## 836 3 3 Sales Executive 2
## 837 3 1 Research Scientist 3
## 838 4 2 Sales Executive 4
## 839 2 3 Manufacturing Director 2
## 840 2 5 Research Director 2
## 841 3 1 Laboratory Technician 3
## 842 2 3 Human Resources 1
## 843 2 4 Manufacturing Director 4
## 844 3 3 Healthcare Representative 4
## 845 1 2 Sales Executive 4
## 846 3 2 Laboratory Technician 1
## 847 3 1 Laboratory Technician 2
## 848 4 3 Healthcare Representative 4
## 849 2 2 Sales Executive 3
## 850 4 1 Laboratory Technician 4
## 851 1 2 Sales Executive 3
## 852 2 1 Laboratory Technician 3
## 853 2 2 Laboratory Technician 3
## 854 4 2 Healthcare Representative 1
## 855 2 2 Manufacturing Director 2
## 856 3 1 Sales Representative 3
## 857 3 1 Research Scientist 1
## 858 2 3 Manufacturing Director 3
## 859 3 1 Laboratory Technician 1
## 860 3 3 Healthcare Representative 4
## 861 2 1 Laboratory Technician 3
## 862 2 3 Sales Executive 4
## 863 4 2 Sales Executive 4
## 864 3 4 Sales Executive 3
## 865 3 3 Manufacturing Director 4
## 866 3 3 Manufacturing Director 4
## 867 3 2 Sales Executive 4
## 868 3 2 Sales Executive 3
## 869 3 1 Research Scientist 3
## 870 3 2 Laboratory Technician 2
## MaritalStatus MonthlyIncome MonthlyRate NumCompaniesWorked Over18
## 1 Divorced 4403 9250 2 Y
## 2 Single 19626 17544 1 Y
## 3 Single 9362 19944 2 Y
## 4 Married 10422 24032 1 Y
## 5 Single 3760 17218 1 Y
## 6 Divorced 8793 4809 1 Y
## 7 Married 2127 5561 2 Y
## 8 Divorced 6694 24223 2 Y
## 9 Married 2220 18410 1 Y
## 10 Married 5063 15332 1 Y
## 11 Married 19392 22539 7 Y
## 12 Divorced 2706 10494 1 Y
## 13 Single 10221 18869 3 Y
## 14 Married 2476 17434 1 Y
## 15 Single 3423 22957 6 Y
## 16 Married 6932 24406 1 Y
## 17 Married 6725 13554 1 Y
## 18 Married 5258 16044 2 Y
## 19 Married 2932 5586 0 Y
## 20 Married 5033 9364 2 Y
## 21 Divorced 8847 13934 2 Y
## 22 Married 8120 18597 3 Y
## 23 Divorced 5679 19627 3 Y
## 24 Single 5332 21602 7 Y
## 25 Single 6949 12291 0 Y
## 26 Married 18213 8751 7 Y
## 27 Married 9924 12355 0 Y
## 28 Single 8224 18385 0 Y
## 29 Single 10448 5843 6 Y
## 30 Married 4258 26589 0 Y
## 31 Divorced 4668 22812 0 Y
## 32 Married 2028 13637 1 Y
## 33 Married 16872 14977 3 Y
## 34 Married 2258 16340 6 Y
## 35 Single 9679 10138 8 Y
## 36 Married 2794 26062 1 Y
## 37 Married 10306 21530 9 Y
## 38 Divorced 6134 8658 5 Y
## 39 Single 19717 4022 6 Y
## 40 Married 2791 21981 0 Y
## 41 Divorced 16291 22577 4 Y
## 42 Single 6632 12388 0 Y
## 43 Divorced 2587 24941 4 Y
## 44 Single 19613 26362 8 Y
## 45 Married 1223 16901 1 Y
## 46 Single 3673 16458 1 Y
## 47 Single 6735 12147 6 Y
## 48 Divorced 8740 5569 0 Y
## 49 Single 1878 8059 1 Y
## 50 Divorced 2024 5970 6 Y
## 51 Single 2619 14561 3 Y
## 52 Married 19701 22456 3 Y
## 53 Married 2011 19982 1 Y
## 54 Married 4447 23163 1 Y
## 55 Single 4424 20682 1 Y
## 56 Divorced 2289 20520 1 Y
## 57 Divorced 2759 20366 6 Y
## 58 Single 4723 16213 1 Y
## 59 Divorced 13603 11677 2 Y
## 60 Single 1118 8040 1 Y
## 61 Married 10325 5518 1 Y
## 62 Married 7094 5747 3 Y
## 63 Married 3067 6393 0 Y
## 64 Single 1514 8018 1 Y
## 65 Married 2210 3372 1 Y
## 66 Divorced 3298 15053 0 Y
## 67 Single 6646 19368 1 Y
## 68 Single 2647 13672 1 Y
## 69 Married 2194 5868 4 Y
## 70 Single 2115 15881 1 Y
## 71 Married 2782 21412 3 Y
## 72 Single 8463 23490 0 Y
## 73 Married 5916 15497 3 Y
## 74 Married 4766 9051 3 Y
## 75 Single 8446 21534 9 Y
## 76 Single 4011 10781 1 Y
## 77 Married 7083 12288 1 Y
## 78 Single 17567 3156 1 Y
## 79 Single 8865 16840 6 Y
## 80 Divorced 1129 17536 1 Y
## 81 Married 4777 14382 5 Y
## 82 Married 6883 5151 2 Y
## 83 Married 5321 14284 2 Y
## 84 Divorced 5974 17001 4 Y
## 85 Single 5410 2323 9 Y
## 86 Single 13726 21829 3 Y
## 87 Single 4960 11825 2 Y
## 88 Divorced 3743 10074 1 Y
## 89 Single 8726 2975 1 Y
## 90 Single 18947 22822 3 Y
## 91 Married 1702 12106 1 Y
## 92 Married 7336 11162 1 Y
## 93 Single 2090 2396 6 Y
## 94 Single 6142 4223 3 Y
## 95 Single 19926 17053 3 Y
## 96 Married 4907 24532 1 Y
## 97 Married 16606 11380 8 Y
## 98 Divorced 5163 15850 5 Y
## 99 Married 3180 4668 0 Y
## 100 Married 3294 3708 5 Y
## 101 Married 2099 7679 0 Y
## 102 Divorced 10793 8386 1 Y
## 103 Married 6538 12740 9 Y
## 104 Married 2819 8544 2 Y
## 105 Single 16598 19764 4 Y
## 106 Married 4420 13421 1 Y
## 107 Married 4319 26283 1 Y
## 108 Married 19636 25811 4 Y
## 109 Married 8926 10842 4 Y
## 110 Single 2439 11288 1 Y
## 111 Divorced 2703 22088 1 Y
## 112 Married 17099 13829 2 Y
## 113 Single 10445 15322 7 Y
## 114 Divorced 5093 4761 2 Y
## 115 Married 8966 21026 3 Y
## 116 Single 7642 4814 1 Y
## 117 Single 4950 20623 0 Y
## 118 Married 4025 23679 4 Y
## 119 Divorced 2451 4609 4 Y
## 120 Single 6687 6163 1 Y
## 121 Married 11713 20335 9 Y
## 122 Single 2380 25479 1 Y
## 123 Divorced 10761 19239 4 Y
## 124 Single 4028 7791 0 Y
## 125 Single 4554 20260 1 Y
## 126 Married 5204 13586 1 Y
## 127 Single 3919 4681 1 Y
## 128 Married 5906 23888 0 Y
## 129 Single 4081 20003 1 Y
## 130 Divorced 13225 7739 2 Y
## 131 Divorced 4187 3356 1 Y
## 132 Single 4507 8191 3 Y
## 133 Married 4523 4386 0 Y
## 134 Married 5295 7693 4 Y
## 135 Divorced 5257 6227 1 Y
## 136 Married 4244 9931 1 Y
## 137 Married 2319 6689 1 Y
## 138 Married 10739 13943 8 Y
## 139 Married 2404 4303 7 Y
## 140 Single 7428 14506 2 Y
## 141 Married 13402 18235 4 Y
## 142 Divorced 2372 26076 1 Y
## 143 Divorced 10845 24208 6 Y
## 144 Married 6502 22825 4 Y
## 145 Divorced 6377 13888 5 Y
## 146 Married 4649 16928 1 Y
## 147 Married 2756 4673 1 Y
## 148 Married 6392 10589 2 Y
## 149 Single 3597 6409 8 Y
## 150 Divorced 4877 20460 0 Y
## 151 Divorced 4233 11512 2 Y
## 152 Single 5396 21703 1 Y
## 153 Married 5484 16985 1 Y
## 154 Single 6870 15530 3 Y
## 155 Divorced 2008 6896 1 Y
## 156 Married 4736 6069 7 Y
## 157 Married 5677 4258 3 Y
## 158 Divorced 12169 13547 7 Y
## 159 Married 10820 11535 8 Y
## 160 Married 13191 23281 3 Y
## 161 Married 5126 15998 1 Y
## 162 Single 8722 12355 1 Y
## 163 Divorced 7104 20431 0 Y
## 164 Single 6545 23016 3 Y
## 165 Married 8020 5100 0 Y
## 166 Single 2044 22052 1 Y
## 167 Married 16413 3498 3 Y
## 168 Divorced 16184 22578 4 Y
## 169 Divorced 5577 22087 3 Y
## 170 Divorced 2514 26968 4 Y
## 171 Divorced 5304 25275 7 Y
## 172 Married 5467 2125 8 Y
## 173 Married 10527 8984 5 Y
## 174 Divorced 8380 21708 0 Y
## 175 Divorced 14852 13938 6 Y
## 176 Single 2070 25326 1 Y
## 177 Married 19859 21199 5 Y
## 178 Married 2042 15346 6 Y
## 179 Single 8998 15589 1 Y
## 180 Single 8686 12930 4 Y
## 181 Divorced 10274 19588 2 Y
## 182 Divorced 6893 19461 3 Y
## 183 Single 4739 16090 4 Y
## 184 Single 8376 9150 4 Y
## 185 Married 3755 17872 1 Y
## 186 Married 2070 2613 1 Y
## 187 Divorced 5206 4973 1 Y
## 188 Divorced 15972 21086 6 Y
## 189 Divorced 19144 15815 3 Y
## 190 Married 4221 8863 1 Y
## 191 Married 5775 11934 1 Y
## 192 Married 9637 8277 2 Y
## 193 Divorced 4810 26314 2 Y
## 194 Married 4051 19658 2 Y
## 195 Single 3904 4050 0 Y
## 196 Married 2723 23231 1 Y
## 197 Married 2075 18725 3 Y
## 198 Married 13120 11879 6 Y
## 199 Married 10248 2094 3 Y
## 200 Married 2127 9100 1 Y
## 201 Single 13194 17071 4 Y
## 202 Married 6220 7346 1 Y
## 203 Married 6162 19124 1 Y
## 204 Single 2216 3872 7 Y
## 205 Married 3931 20990 2 Y
## 206 Married 2559 7508 1 Y
## 207 Single 5346 9489 8 Y
## 208 Married 6673 11354 7 Y
## 209 Divorced 3204 10415 5 Y
## 210 Divorced 8189 21196 3 Y
## 211 Married 13570 5640 0 Y
## 212 Married 18303 7770 6 Y
## 213 Single 4680 15232 3 Y
## 214 Married 6062 4051 9 Y
## 215 Single 2045 15174 0 Y
## 216 Divorced 2345 8045 2 Y
## 217 Married 9824 22174 3 Y
## 218 Divorced 17174 2437 3 Y
## 219 Single 2632 23910 1 Y
## 220 Single 2875 9973 1 Y
## 221 Single 6274 18686 1 Y
## 222 Married 4286 5630 2 Y
## 223 Divorced 5368 16130 1 Y
## 224 Divorced 1563 12530 1 Y
## 225 Divorced 4771 14293 2 Y
## 226 Married 3748 4077 1 Y
## 227 Divorced 1951 10910 1 Y
## 228 Divorced 2328 12392 1 Y
## 229 Married 4999 17519 0 Y
## 230 Married 13966 11652 2 Y
## 231 Divorced 5770 5388 1 Y
## 232 Married 2014 9687 1 Y
## 233 Married 12936 24164 7 Y
## 234 Married 5940 17011 2 Y
## 235 Married 16959 19494 1 Y
## 236 Married 10609 14922 5 Y
## 237 Married 18880 17312 5 Y
## 238 Married 6322 18089 1 Y
## 239 Married 2187 19655 4 Y
## 240 Divorced 13269 21981 5 Y
## 241 Married 7406 6950 1 Y
## 242 Single 18061 13035 3 Y
## 243 Married 2703 4956 0 Y
## 244 Married 4400 15182 3 Y
## 245 Married 5056 17689 1 Y
## 246 Divorced 2532 6054 6 Y
## 247 Single 7143 25713 1 Y
## 248 Married 2269 18024 0 Y
## 249 Divorced 5467 13953 3 Y
## 250 Married 16595 5626 7 Y
## 251 Divorced 2008 20439 1 Y
## 252 Divorced 5079 25952 4 Y
## 253 Single 2274 6153 1 Y
## 254 Married 2956 21495 0 Y
## 255 Divorced 13757 25178 2 Y
## 256 Single 2438 24978 4 Y
## 257 Divorced 2789 3909 1 Y
## 258 Divorced 4779 12761 7 Y
## 259 Married 9713 24444 2 Y
## 260 Divorced 3977 7298 6 Y
## 261 Single 2785 11882 7 Y
## 262 Single 2362 7568 6 Y
## 263 Married 2436 22149 5 Y
## 264 Married 2157 18203 1 Y
## 265 Married 2774 13257 0 Y
## 266 Married 2426 16479 0 Y
## 267 Divorced 17007 11929 7 Y
## 268 Single 1393 24852 1 Y
## 269 Divorced 5968 18079 1 Y
## 270 Married 9957 9096 0 Y
## 271 Married 5154 19665 4 Y
## 272 Divorced 5433 19332 1 Y
## 273 Married 3540 7018 1 Y
## 274 Married 5647 13494 4 Y
## 275 Single 18722 13339 8 Y
## 276 Divorced 19943 18575 4 Y
## 277 Married 2244 24440 1 Y
## 278 Single 2455 10675 0 Y
## 279 Single 5744 26959 1 Y
## 280 Married 4035 16143 0 Y
## 281 Married 7847 6069 1 Y
## 282 Single 4721 3119 2 Y
## 283 Divorced 6513 9060 4 Y
## 284 Divorced 7547 7143 4 Y
## 285 Married 2844 6004 1 Y
## 286 Married 5207 22949 1 Y
## 287 Single 2472 26092 1 Y
## 288 Divorced 2661 8758 0 Y
## 289 Married 9738 22952 0 Y
## 290 Married 2572 20317 1 Y
## 291 Divorced 2270 11005 3 Y
## 292 Married 5674 6927 7 Y
## 293 Single 2279 11781 1 Y
## 294 Married 11957 17231 0 Y
## 295 Single 16437 17381 1 Y
## 296 Married 2660 20232 7 Y
## 297 Married 9547 14074 1 Y
## 298 Single 6074 22887 1 Y
## 299 Single 2321 10322 0 Y
## 300 Married 3464 24737 5 Y
## 301 Married 6524 8891 1 Y
## 302 Married 9069 11031 1 Y
## 303 Divorced 3537 23737 5 Y
## 304 Single 5098 18698 1 Y
## 305 Single 2479 26227 4 Y
## 306 Married 3162 10778 0 Y
## 307 Married 2380 20165 4 Y
## 308 Married 2979 22478 3 Y
## 309 Married 6385 12992 3 Y
## 310 Married 4851 15678 0 Y
## 311 Married 5484 13008 9 Y
## 312 Single 13237 20364 7 Y
## 313 Single 4084 4156 1 Y
## 314 Married 6132 13983 2 Y
## 315 Single 5405 11924 8 Y
## 316 Single 4163 8571 1 Y
## 317 Married 2231 11314 6 Y
## 318 Single 4617 14120 1 Y
## 319 Married 6120 3567 3 Y
## 320 Single 2994 21221 1 Y
## 321 Married 2332 3974 6 Y
## 322 Married 2691 7660 1 Y
## 323 Divorced 3761 2373 9 Y
## 324 Divorced 4615 21029 8 Y
## 325 Married 12742 7060 1 Y
## 326 Single 2318 17808 1 Y
## 327 Divorced 19049 3549 0 Y
## 328 Divorced 5410 11189 6 Y
## 329 Divorced 2133 18115 1 Y
## 330 Married 16799 16616 0 Y
## 331 Single 15379 22384 4 Y
## 332 Married 10400 25812 1 Y
## 333 Divorced 2342 11092 1 Y
## 334 Married 7412 6009 1 Y
## 335 Married 18844 21922 9 Y
## 336 Single 4508 3129 1 Y
## 337 Divorced 4968 18500 1 Y
## 338 Single 7756 22266 0 Y
## 339 Single 4728 17251 3 Y
## 340 Divorced 2341 19715 1 Y
## 341 Married 3419 13072 9 Y
## 342 Married 3867 14222 1 Y
## 343 Divorced 7119 21214 4 Y
## 344 Divorced 2083 22653 1 Y
## 345 Divorced 4115 13192 8 Y
## 346 Single 13341 25098 0 Y
## 347 Single 4033 15834 2 Y
## 348 Divorced 6397 26767 1 Y
## 349 Single 2290 4279 2 Y
## 350 Married 11103 20420 7 Y
## 351 Married 13348 14842 9 Y
## 352 Married 6929 12241 4 Y
## 353 Married 4422 21203 3 Y
## 354 Divorced 4069 8841 3 Y
## 355 Divorced 10447 26458 0 Y
## 356 Single 4759 15891 3 Y
## 357 Married 2368 23300 1 Y
## 358 Married 2546 18300 5 Y
## 359 Married 6162 10877 1 Y
## 360 Married 3210 20251 0 Y
## 361 Married 19999 5678 0 Y
## 362 Single 1091 10642 1 Y
## 363 Married 19845 25846 1 Y
## 364 Divorced 19436 5949 0 Y
## 365 Married 19187 6992 4 Y
## 366 Married 13212 18256 9 Y
## 367 Divorced 4444 22534 4 Y
## 368 Married 5473 19345 0 Y
## 369 Married 2073 12826 2 Y
## 370 Single 5055 10557 7 Y
## 371 Married 4148 11275 1 Y
## 372 Married 8412 2890 0 Y
## 373 Divorced 5210 20308 1 Y
## 374 Married 3936 9953 1 Y
## 375 Single 2728 21082 1 Y
## 376 Single 14411 24450 1 Y
## 377 Single 2743 8269 1 Y
## 378 Divorced 5087 2900 3 Y
## 379 Married 2168 26933 0 Y
## 380 Married 2132 11539 4 Y
## 381 Married 18300 16375 4 Y
## 382 Married 2942 8916 1 Y
## 383 Divorced 5486 24795 4 Y
## 384 Divorced 2322 9518 3 Y
## 385 Married 2461 10332 9 Y
## 386 Married 13582 16292 1 Y
## 387 Single 8789 9096 1 Y
## 388 Divorced 4262 22645 4 Y
## 389 Single 4502 7439 3 Y
## 390 Single 2174 9150 1 Y
## 391 Married 6500 13305 5 Y
## 392 Married 4157 21436 7 Y
## 393 Divorced 3065 3995 1 Y
## 394 Married 10266 2845 4 Y
## 395 Single 2515 9068 5 Y
## 396 Divorced 2695 7747 0 Y
## 397 Married 17861 2288 6 Y
## 398 Married 2742 3072 1 Y
## 399 Divorced 6306 26236 1 Y
## 400 Single 10209 19719 5 Y
## 401 Single 6091 24793 2 Y
## 402 Divorced 5265 16439 2 Y
## 403 Single 2105 5411 4 Y
## 404 Married 8008 22792 4 Y
## 405 Single 2559 17852 1 Y
## 406 Divorced 16627 2671 4 Y
## 407 Married 5468 13402 1 Y
## 408 Divorced 2741 6865 1 Y
## 409 Married 15427 22021 2 Y
## 410 Married 17159 5200 6 Y
## 411 Married 2342 8635 0 Y
## 412 Single 9241 15869 1 Y
## 413 Married 3022 10227 4 Y
## 414 Single 4648 26075 8 Y
## 415 Divorced 2351 12253 0 Y
## 416 Divorced 5762 24442 2 Y
## 417 Single 2564 7181 0 Y
## 418 Married 3688 7122 4 Y
## 419 Married 6474 9961 1 Y
## 420 Married 11935 21526 1 Y
## 421 Married 4325 17736 1 Y
## 422 Married 4449 23866 3 Y
## 423 Married 6172 20739 4 Y
## 424 Single 1611 19305 1 Y
## 425 Married 4724 24232 1 Y
## 426 Divorced 10798 5268 5 Y
## 427 Divorced 1274 7152 1 Y
## 428 Single 3230 10531 1 Y
## 429 Single 3730 9571 0 Y
## 430 Married 5957 23687 6 Y
## 431 Single 4478 5242 1 Y
## 432 Divorced 3544 8532 9 Y
## 433 Single 4284 22710 3 Y
## 434 Divorced 2109 10007 1 Y
## 435 Divorced 9705 20652 2 Y
## 436 Married 6214 3415 1 Y
## 437 Single 4382 16374 6 Y
## 438 Single 2867 20006 0 Y
## 439 Married 2683 3810 1 Y
## 440 Single 7625 19383 0 Y
## 441 Single 4998 2338 4 Y
## 442 Married 2974 25412 9 Y
## 443 Single 3485 14935 2 Y
## 444 Divorced 3195 4167 4 Y
## 445 Divorced 19328 14218 7 Y
## 446 Married 3420 10205 7 Y
## 447 Married 4735 9867 7 Y
## 448 Married 5538 5696 5 Y
## 449 Single 2406 5456 1 Y
## 450 Married 4385 24162 1 Y
## 451 Married 4878 21653 0 Y
## 452 Single 3420 21158 1 Y
## 453 Single 5813 13492 1 Y
## 454 Single 5487 10410 1 Y
## 455 Married 15402 17997 7 Y
## 456 Single 19833 4349 1 Y
## 457 Married 5476 22589 1 Y
## 458 Single 5441 8423 0 Y
## 459 Married 2066 10494 2 Y
## 460 Single 5810 22604 1 Y
## 461 Married 2093 9260 4 Y
## 462 Single 2013 10950 2 Y
## 463 Single 9208 6645 4 Y
## 464 Single 5238 6670 2 Y
## 465 Married 2437 15587 9 Y
## 466 Single 3944 4306 5 Y
## 467 Single 2644 17001 3 Y
## 468 Married 3038 22002 3 Y
## 469 Single 4969 21813 8 Y
## 470 Divorced 4450 26250 1 Y
## 471 Married 2226 6073 1 Y
## 472 Single 2439 14753 1 Y
## 473 Married 13245 15067 4 Y
## 474 Single 3452 9752 5 Y
## 475 Divorced 2207 22482 1 Y
## 476 Single 5772 20445 4 Y
## 477 Divorced 6334 24558 4 Y
## 478 Divorced 4306 4267 5 Y
## 479 Married 2950 17363 9 Y
## 480 Married 13744 15471 1 Y
## 481 Married 5373 6225 0 Y
## 482 Married 2356 14871 3 Y
## 483 Married 5747 26496 1 Y
## 484 Divorced 4257 13939 4 Y
## 485 Married 10312 3465 1 Y
## 486 Single 5993 19479 8 Y
## 487 Single 1081 16019 1 Y
## 488 Divorced 2911 15170 1 Y
## 489 Single 5381 19294 9 Y
## 490 Single 6142 7360 3 Y
## 491 Single 18665 25594 9 Y
## 492 Married 16880 22422 4 Y
## 493 Single 5869 23413 9 Y
## 494 Single 8606 21195 1 Y
## 495 Married 5673 6060 1 Y
## 496 Married 16307 5594 2 Y
## 497 Married 2654 9655 3 Y
## 498 Married 2326 11411 1 Y
## 499 Married 5237 16577 6 Y
## 500 Married 5736 3987 6 Y
## 501 Married 10008 12023 7 Y
## 502 Single 2028 12947 5 Y
## 503 Married 2655 11740 2 Y
## 504 Divorced 9980 10195 1 Y
## 505 Married 17169 26703 3 Y
## 506 Married 5878 15624 3 Y
## 507 Single 2851 9150 1 Y
## 508 Married 10596 15395 2 Y
## 509 Divorced 2793 2539 4 Y
## 510 Married 19545 16280 1 Y
## 511 Married 5343 5982 1 Y
## 512 Married 10920 3449 3 Y
## 513 Married 3433 17360 6 Y
## 514 Single 13458 15146 1 Y
## 515 Single 2610 2851 1 Y
## 516 Divorced 5482 16321 5 Y
## 517 Married 2413 18798 1 Y
## 518 Divorced 2766 8952 8 Y
## 519 Married 4627 23631 0 Y
## 520 Single 2587 10261 1 Y
## 521 Single 2553 8306 1 Y
## 522 Married 2408 7324 1 Y
## 523 Divorced 9724 18787 2 Y
## 524 Divorced 19502 2125 1 Y
## 525 Married 2177 8456 3 Y
## 526 Married 7525 23537 2 Y
## 527 Divorced 5006 6319 4 Y
## 528 Married 6833 17089 1 Y
## 529 Single 2859 26278 1 Y
## 530 Married 4963 4510 9 Y
## 531 Married 8823 24608 0 Y
## 532 Single 6815 21447 6 Y
## 533 Married 2700 23779 1 Y
## 534 Divorced 6667 16542 5 Y
## 535 Married 2119 4759 1 Y
## 536 Divorced 2089 5228 4 Y
## 537 Single 7351 20619 7 Y
## 538 Divorced 2696 24017 0 Y
## 539 Single 3202 21972 1 Y
## 540 Single 5155 2253 7 Y
## 541 Divorced 3491 11309 1 Y
## 542 Married 3143 6076 6 Y
## 543 Divorced 2566 25326 1 Y
## 544 Married 6553 7259 9 Y
## 545 Single 4381 7530 1 Y
## 546 Married 2929 20338 1 Y
## 547 Married 7403 22477 4 Y
## 548 Single 5094 11983 6 Y
## 549 Married 12061 26707 3 Y
## 550 Single 2177 8318 1 Y
## 551 Married 19189 19562 1 Y
## 552 Divorced 4936 23965 1 Y
## 553 Single 3886 4223 1 Y
## 554 Married 2259 5543 4 Y
## 555 Married 4876 14242 9 Y
## 556 Married 9602 3010 4 Y
## 557 Single 3780 23428 7 Y
## 558 Married 3622 22794 1 Y
## 559 Married 4434 11806 1 Y
## 560 Married 5296 20156 1 Y
## 561 Single 2088 15062 4 Y
## 562 Married 15787 21624 2 Y
## 563 Married 2811 12086 9 Y
## 564 Married 11031 26862 4 Y
## 565 Married 3833 24375 3 Y
## 566 Single 2436 13422 6 Y
## 567 Single 2176 19737 4 Y
## 568 Married 9714 5323 1 Y
## 569 Single 6244 7824 7 Y
## 570 Married 13973 4161 3 Y
## 571 Married 4393 26841 5 Y
## 572 Single 2693 8870 1 Y
## 573 Married 6834 19255 1 Y
## 574 Married 6799 22128 1 Y
## 575 Married 6272 7428 1 Y
## 576 Divorced 5993 2689 1 Y
## 577 Single 2858 11473 4 Y
## 578 Single 3162 7973 3 Y
## 579 Single 5042 3140 0 Y
## 580 Divorced 6623 4204 1 Y
## 581 Married 3669 9075 3 Y
## 582 Single 15992 15901 2 Y
## 583 Married 5811 24539 3 Y
## 584 Married 4779 3698 1 Y
## 585 Married 6465 19121 2 Y
## 586 Married 2741 16523 8 Y
## 587 Divorced 5329 15717 7 Y
## 588 Single 3407 6986 7 Y
## 589 Single 3629 19106 4 Y
## 590 Married 4014 16002 3 Y
## 591 Married 2814 10293 1 Y
## 592 Single 4599 7815 0 Y
## 593 Married 2909 15747 3 Y
## 594 Married 3211 22102 1 Y
## 595 Married 10435 25800 1 Y
## 596 Divorced 4037 21816 1 Y
## 597 Married 10903 9129 3 Y
## 598 Married 3448 13436 6 Y
## 599 Married 6142 5174 1 Y
## 600 Married 2293 3020 2 Y
## 601 Married 2033 7103 1 Y
## 602 Married 4087 25174 4 Y
## 603 Married 11416 17802 0 Y
## 604 Married 3131 26342 1 Y
## 605 Single 2760 14630 1 Y
## 606 Married 14814 13514 3 Y
## 607 Single 5473 24668 7 Y
## 608 Divorced 5605 19191 1 Y
## 609 Single 3578 23577 0 Y
## 610 Single 2342 21437 0 Y
## 611 Married 5363 10846 0 Y
## 612 Single 6811 2112 2 Y
## 613 Married 2707 21509 7 Y
## 614 Single 2121 9947 1 Y
## 615 Divorced 7264 9977 5 Y
## 616 Married 3986 11912 1 Y
## 617 Married 3838 8192 8 Y
## 618 Divorced 5454 4009 5 Y
## 619 Married 9991 21457 4 Y
## 620 Married 1281 16900 1 Y
## 621 Single 2926 19783 1 Y
## 622 Divorced 5067 6759 1 Y
## 623 Single 3280 13551 2 Y
## 624 Single 8837 16642 1 Y
## 625 Single 2561 5355 7 Y
## 626 Divorced 2517 3208 1 Y
## 627 Married 4162 15211 1 Y
## 628 Divorced 11510 15682 0 Y
## 629 Married 10976 15813 3 Y
## 630 Single 8621 17654 1 Y
## 631 Married 2662 7975 8 Y
## 632 Single 9888 6770 1 Y
## 633 Single 6861 4981 8 Y
## 634 Divorced 2835 2561 5 Y
## 635 Married 9985 9262 8 Y
## 636 Married 2376 26537 1 Y
## 637 Married 17665 14399 0 Y
## 638 Divorced 8628 22914 1 Y
## 639 Married 2725 21630 1 Y
## 640 Divorced 3041 16346 0 Y
## 641 Divorced 2693 13335 1 Y
## 642 Divorced 4448 10748 2 Y
## 643 Single 16756 17323 7 Y
## 644 Married 2307 14460 1 Y
## 645 Divorced 2107 20293 6 Y
## 646 Married 10855 8552 7 Y
## 647 Single 1904 13556 1 Y
## 648 Married 2305 6217 1 Y
## 649 Single 4312 23016 0 Y
## 650 Single 2166 3339 3 Y
## 651 Single 2450 21731 1 Y
## 652 Divorced 5220 10893 0 Y
## 653 Single 13499 13782 9 Y
## 654 Married 12504 23978 3 Y
## 655 Single 3894 9129 5 Y
## 656 Married 4741 22722 1 Y
## 657 Married 12490 15736 5 Y
## 658 Divorced 16032 24456 3 Y
## 659 Single 6032 10110 6 Y
## 660 Single 6499 22656 1 Y
## 661 Married 5309 21146 1 Y
## 662 Divorced 2768 8416 3 Y
## 663 Divorced 10368 5596 4 Y
## 664 Divorced 3917 9541 1 Y
## 665 Single 4568 10034 0 Y
## 666 Single 6294 23060 8 Y
## 667 Married 7918 6599 1 Y
## 668 Divorced 3408 6705 7 Y
## 669 Married 4883 22845 1 Y
## 670 Married 17779 23474 3 Y
## 671 Single 13664 25258 4 Y
## 672 Divorced 5505 3921 1 Y
## 673 Single 4898 11827 0 Y
## 674 Divorced 2022 16612 1 Y
## 675 Married 3517 22490 7 Y
## 676 Married 18789 9946 2 Y
## 677 Married 5228 23361 0 Y
## 678 Married 6323 26849 1 Y
## 679 Divorced 5131 9192 7 Y
## 680 Married 2329 11737 3 Y
## 681 Married 4256 18154 1 Y
## 682 Married 2258 15238 7 Y
## 683 Married 5347 7419 6 Y
## 684 Divorced 9439 23402 3 Y
## 685 Married 2713 6672 1 Y
## 686 Divorced 10648 14394 1 Y
## 687 Single 7553 22930 0 Y
## 688 Married 2622 13248 6 Y
## 689 Single 1102 9241 1 Y
## 690 Divorced 2592 7129 5 Y
## 691 Married 6077 14814 3 Y
## 692 Married 11849 10268 1 Y
## 693 Single 6781 17078 3 Y
## 694 Single 2285 3427 9 Y
## 695 Divorced 9525 7677 1 Y
## 696 Single 3294 13137 1 Y
## 697 Married 15202 5602 2 Y
## 698 Single 5914 9945 8 Y
## 699 Single 1569 18420 1 Y
## 700 Married 19081 10849 5 Y
## 701 Married 2804 15434 1 Y
## 702 Married 5714 5829 1 Y
## 703 Married 10377 13755 4 Y
## 704 Married 2148 6889 0 Y
## 705 Married 2267 25657 8 Y
## 706 Single 6230 13430 7 Y
## 707 Married 6854 15696 4 Y
## 708 Single 2109 24609 9 Y
## 709 Married 3702 16376 1 Y
## 710 Divorced 17924 4544 1 Y
## 711 Married 11916 25927 1 Y
## 712 Divorced 14118 22102 3 Y
## 713 Single 2559 16620 5 Y
## 714 Married 9699 7246 4 Y
## 715 Single 7587 14229 1 Y
## 716 Married 1555 11585 1 Y
## 717 Married 6578 2706 1 Y
## 718 Single 3660 7909 3 Y
## 719 Single 4581 10414 3 Y
## 720 Divorced 7655 8039 0 Y
## 721 Married 9434 9606 1 Y
## 722 Married 5768 26493 3 Y
## 723 Divorced 2996 20284 5 Y
## 724 Single 8858 15669 0 Y
## 725 Single 3968 13624 4 Y
## 726 Married 4898 7505 0 Y
## 727 Married 2973 21222 5 Y
## 728 Divorced 3815 5972 1 Y
## 729 Single 2340 23213 1 Y
## 730 Married 2523 19299 0 Y
## 731 Divorced 4765 23814 4 Y
## 732 Married 5238 17778 4 Y
## 733 Married 2863 19555 1 Y
## 734 Married 4707 23914 8 Y
## 735 Single 2972 22061 1 Y
## 736 Single 6500 26997 0 Y
## 737 Married 12031 8828 0 Y
## 738 Single 5171 16490 5 Y
## 739 Married 4601 6179 1 Y
## 740 Single 3681 14004 4 Y
## 741 Married 8639 24835 2 Y
## 742 Divorced 11557 25291 9 Y
## 743 Married 4285 3031 1 Y
## 744 Single 3295 12862 1 Y
## 745 Divorced 4907 13684 0 Y
## 746 Divorced 2296 10036 0 Y
## 747 Divorced 2335 3157 4 Y
## 748 Single 5343 25755 0 Y
## 749 Divorced 3907 3622 1 Y
## 750 Single 2500 10515 0 Y
## 751 Single 2323 17205 1 Y
## 752 Single 2302 8319 1 Y
## 753 Married 11245 20689 2 Y
## 754 Married 7314 14011 5 Y
## 755 Married 13549 24001 9 Y
## 756 Single 3708 2104 2 Y
## 757 Married 4014 19170 1 Y
## 758 Married 6651 21534 2 Y
## 759 Married 3306 26176 7 Y
## 760 Single 18824 2493 2 Y
## 761 Single 2404 11479 6 Y
## 762 Married 16752 12982 1 Y
## 763 Single 6151 22074 1 Y
## 764 Married 6347 24920 0 Y
## 765 Married 3737 2243 0 Y
## 766 Single 5769 23447 1 Y
## 767 Married 3376 18863 1 Y
## 768 Divorced 10932 11373 3 Y
## 769 Divorced 7379 17433 2 Y
## 770 Married 5593 17970 1 Y
## 771 Single 4682 4317 3 Y
## 772 Divorced 10453 2137 1 Y
## 773 Single 10938 6420 0 Y
## 774 Married 3388 21777 0 Y
## 775 Married 10124 18611 2 Y
## 776 Single 3505 19630 1 Y
## 777 Divorced 2064 15428 0 Y
## 778 Divorced 2827 14947 1 Y
## 779 Single 2570 11925 1 Y
## 780 Married 4787 26124 9 Y
## 781 Single 3140 21728 1 Y
## 782 Single 4553 20978 1 Y
## 783 Divorced 2277 22650 3 Y
## 784 Married 4539 4905 1 Y
## 785 Married 4978 3536 7 Y
## 786 Single 16422 8847 3 Y
## 787 Married 13116 22984 2 Y
## 788 Married 4941 17747 2 Y
## 789 Married 19038 19805 8 Y
## 790 Single 2096 18830 1 Y
## 791 Married 4789 23070 4 Y
## 792 Single 2311 5711 2 Y
## 793 Married 7756 14199 3 Y
## 794 Divorced 10096 8202 1 Y
## 795 Divorced 6804 23793 1 Y
## 796 Single 3348 3164 1 Y
## 797 Married 13496 7501 0 Y
## 798 Married 2398 15999 1 Y
## 799 Single 1859 6148 1 Y
## 800 Divorced 6842 26308 6 Y
## 801 Married 5376 3193 2 Y
## 802 Single 6582 8346 4 Y
## 803 Married 17068 5355 1 Y
## 804 Single 9582 10333 0 Y
## 805 Married 2042 25043 4 Y
## 806 Married 8321 25949 7 Y
## 807 Married 6232 12477 2 Y
## 808 Married 2323 11992 1 Y
## 809 Married 2862 3811 1 Y
## 810 Married 3058 13364 0 Y
## 811 Divorced 3072 11012 1 Y
## 812 Married 3229 4910 4 Y
## 813 Divorced 4260 5915 1 Y
## 814 Married 19658 5220 3 Y
## 815 Married 2899 12102 0 Y
## 816 Married 2781 6311 0 Y
## 817 Single 6877 20234 5 Y
## 818 Married 11691 25995 0 Y
## 819 Single 2720 11162 0 Y
## 820 Single 9854 23352 3 Y
## 821 Married 3312 18783 3 Y
## 822 Divorced 6931 10732 2 Y
## 823 Married 6712 8978 1 Y
## 824 Married 2610 6233 1 Y
## 825 Married 4663 12421 9 Y
## 826 Divorced 19627 21445 9 Y
## 827 Married 8161 19002 2 Y
## 828 Single 4538 6039 0 Y
## 829 Married 2468 15963 4 Y
## 830 Married 18200 7999 1 Y
## 831 Married 3633 14039 1 Y
## 832 Single 1675 26820 1 Y
## 833 Married 3196 12449 1 Y
## 834 Single 2552 7172 1 Y
## 835 Divorced 13577 25592 1 Y
## 836 Divorced 8834 24666 1 Y
## 837 Married 2996 5182 7 Y
## 838 Single 5337 19921 1 Y
## 839 Divorced 10333 19271 8 Y
## 840 Married 19665 13583 4 Y
## 841 Single 1420 25233 1 Y
## 842 Single 7988 9769 1 Y
## 843 Married 13826 19028 3 Y
## 844 Divorced 8500 5494 0 Y
## 845 Single 6029 25353 5 Y
## 846 Divorced 4558 13535 1 Y
## 847 Single 1483 16102 1 Y
## 848 Divorced 9613 10942 0 Y
## 849 Married 6380 6110 2 Y
## 850 Married 2544 7102 0 Y
## 851 Married 4559 24788 3 Y
## 852 Single 2206 16117 1 Y
## 853 Single 4193 12682 0 Y
## 854 Single 5661 4824 0 Y
## 855 Married 4788 25388 0 Y
## 856 Married 2404 16192 1 Y
## 857 Single 2657 8556 5 Y
## 858 Married 8943 14034 1 Y
## 859 Married 2238 6961 2 Y
## 860 Married 7978 14075 1 Y
## 861 Single 2838 4257 0 Y
## 862 Single 10231 20364 3 Y
## 863 Single 5304 4652 8 Y
## 864 Divorced 13770 10225 9 Y
## 865 Married 9380 14720 4 Y
## 866 Single 7898 18706 1 Y
## 867 Married 4465 12069 0 Y
## 868 Married 4591 24200 3 Y
## 869 Married 4477 20100 4 Y
## 870 Single 4425 15986 5 Y
## OverTime PercentSalaryHike PerformanceRating RelationshipSatisfaction
## 1 No 11 3 3
## 2 No 14 3 1
## 3 No 11 3 3
## 4 No 19 3 3
## 5 Yes 13 3 3
## 6 No 21 4 3
## 7 Yes 12 3 1
## 8 Yes 14 3 3
## 9 Yes 19 3 4
## 10 No 14 3 2
## 11 No 13 3 4
## 12 No 15 3 2
## 13 No 21 4 2
## 14 No 18 3 1
## 15 No 12 3 3
## 16 No 13 3 4
## 17 No 12 3 3
## 18 No 14 3 3
## 19 Yes 14 3 1
## 20 No 15 3 4
## 21 Yes 11 3 3
## 22 No 12 3 4
## 23 Yes 13 3 2
## 24 No 13 3 4
## 25 No 14 3 1
## 26 No 11 3 3
## 27 No 11 3 4
## 28 Yes 17 3 1
## 29 Yes 13 3 2
## 30 No 18 3 1
## 31 No 17 3 4
## 32 No 18 3 4
## 33 Yes 12 3 2
## 34 No 12 3 2
## 35 No 24 4 2
## 36 No 20 4 3
## 37 No 17 3 3
## 38 Yes 13 3 2
## 39 No 14 3 1
## 40 No 12 3 1
## 41 No 22 4 4
## 42 No 13 3 1
## 43 Yes 16 3 2
## 44 No 22 4 4
## 45 No 22 4 4
## 46 No 13 3 3
## 47 No 15 3 2
## 48 Yes 14 3 2
## 49 Yes 14 3 4
## 50 No 18 3 4
## 51 No 17 3 4
## 52 Yes 21 4 3
## 53 No 13 3 4
## 54 No 12 3 2
## 55 No 23 4 4
## 56 No 20 4 2
## 57 Yes 12 3 4
## 58 Yes 18 3 4
## 59 Yes 18 3 1
## 60 Yes 14 3 4
## 61 Yes 11 3 1
## 62 No 12 3 1
## 63 No 19 3 3
## 64 No 16 3 3
## 65 No 13 3 1
## 66 Yes 12 3 4
## 67 No 13 3 2
## 68 No 13 3 3
## 69 No 13 3 4
## 70 No 12 3 2
## 71 No 22 4 1
## 72 No 18 3 4
## 73 Yes 13 3 1
## 74 Yes 11 3 1
## 75 Yes 19 3 3
## 76 No 23 4 4
## 77 Yes 14 3 4
## 78 No 15 3 2
## 79 No 12 3 4
## 80 Yes 11 3 3
## 81 No 15 3 1
## 82 No 16 3 2
## 83 No 11 3 4
## 84 Yes 13 3 1
## 85 Yes 11 3 4
## 86 Yes 13 3 1
## 87 No 12 3 4
## 88 Yes 24 4 4
## 89 No 15 3 4
## 90 No 12 3 4
## 91 Yes 23 4 3
## 92 No 13 3 1
## 93 Yes 15 3 2
## 94 Yes 16 3 3
## 95 No 15 3 2
## 96 No 25 4 3
## 97 No 12 3 4
## 98 No 14 3 4
## 99 No 13 3 3
## 100 No 17 3 1
## 101 No 14 3 2
## 102 No 18 3 1
## 103 No 15 3 1
## 104 No 16 3 1
## 105 No 12 3 2
## 106 No 22 4 2
## 107 No 13 3 1
## 108 Yes 18 3 1
## 109 No 22 4 4
## 110 No 14 3 4
## 111 Yes 14 3 4
## 112 No 15 3 2
## 113 No 19 3 4
## 114 No 11 3 1
## 115 Yes 15 3 4
## 116 Yes 13 3 4
## 117 No 14 3 2
## 118 Yes 13 3 1
## 119 No 12 3 1
## 120 No 11 3 4
## 121 No 14 3 1
## 122 Yes 11 3 4
## 123 Yes 12 3 3
## 124 No 20 4 1
## 125 No 18 3 1
## 126 Yes 11 3 4
## 127 Yes 22 4 2
## 128 No 13 3 4
## 129 Yes 14 3 1
## 130 No 12 3 4
## 131 Yes 13 3 2
## 132 No 12 3 3
## 133 No 11 3 4
## 134 No 21 4 3
## 135 No 11 3 2
## 136 No 24 4 4
## 137 Yes 11 3 4
## 138 No 11 3 3
## 139 Yes 21 4 4
## 140 No 12 3 1
## 141 Yes 12 3 1
## 142 No 12 3 4
## 143 No 13 3 2
## 144 No 14 3 2
## 145 No 20 4 2
## 146 No 14 3 1
## 147 No 13 3 4
## 148 No 13 3 4
## 149 No 22 4 4
## 150 No 21 4 2
## 151 No 17 3 3
## 152 No 12 3 4
## 153 No 14 3 3
## 154 No 12 3 1
## 155 No 14 3 2
## 156 Yes 12 3 2
## 157 No 14 3 3
## 158 No 11 3 4
## 159 No 11 3 3
## 160 Yes 17 3 3
## 161 Yes 12 3 3
## 162 No 12 3 1
## 163 No 12 3 4
## 164 Yes 13 3 3
## 165 No 15 3 3
## 166 No 13 3 4
## 167 No 16 3 2
## 168 No 19 3 3
## 169 Yes 12 3 2
## 170 No 22 4 1
## 171 No 23 4 4
## 172 No 18 3 3
## 173 No 11 3 4
## 174 Yes 14 3 4
## 175 No 13 3 3
## 176 Yes 11 3 3
## 177 Yes 13 3 4
## 178 Yes 14 3 2
## 179 No 14 3 4
## 180 No 22 4 3
## 181 No 18 3 2
## 182 No 15 3 4
## 183 No 12 3 4
## 184 No 18 3 4
## 185 No 11 3 1
## 186 No 23 4 4
## 187 No 17 3 3
## 188 No 14 3 3
## 189 No 14 3 1
## 190 No 15 3 2
## 191 No 13 3 4
## 192 No 14 3 4
## 193 No 14 3 3
## 194 No 14 3 1
## 195 No 12 3 4
## 196 No 11 3 2
## 197 No 23 4 2
## 198 No 17 3 2
## 199 No 14 3 4
## 200 No 21 4 4
## 201 Yes 16 3 4
## 202 No 17 3 2
## 203 No 12 3 3
## 204 Yes 13 3 4
## 205 No 11 3 1
## 206 Yes 13 3 4
## 207 No 13 3 2
## 208 Yes 19 3 2
## 209 No 14 3 4
## 210 Yes 13 3 3
## 211 No 23 4 3
## 212 No 13 3 2
## 213 No 17 3 1
## 214 Yes 13 3 4
## 215 No 13 3 4
## 216 No 14 3 3
## 217 No 19 3 3
## 218 No 11 3 2
## 219 No 14 3 3
## 220 Yes 20 4 2
## 221 No 22 4 3
## 222 No 14 3 4
## 223 Yes 25 4 3
## 224 No 14 3 4
## 225 No 19 3 4
## 226 No 13 3 3
## 227 No 12 3 3
## 228 Yes 16 3 1
## 229 No 21 4 1
## 230 Yes 19 3 2
## 231 No 19 3 1
## 232 No 13 3 1
## 233 No 11 3 3
## 234 No 14 3 4
## 235 Yes 12 3 4
## 236 No 11 3 3
## 237 No 11 3 1
## 238 Yes 12 3 4
## 239 No 14 3 3
## 240 No 15 3 3
## 241 Yes 21 4 4
## 242 No 22 4 3
## 243 No 23 4 4
## 244 No 12 3 1
## 245 Yes 15 3 3
## 246 No 14 3 3
## 247 Yes 14 3 3
## 248 No 14 3 2
## 249 Yes 14 3 1
## 250 No 16 3 2
## 251 No 12 3 3
## 252 No 13 3 4
## 253 No 14 3 4
## 254 No 17 3 3
## 255 No 11 3 3
## 256 No 13 3 3
## 257 No 11 3 3
## 258 No 14 3 2
## 259 Yes 13 3 4
## 260 Yes 19 3 3
## 261 No 14 3 3
## 262 No 13 3 3
## 263 Yes 13 3 3
## 264 No 15 3 2
## 265 No 12 3 3
## 266 No 13 3 3
## 267 No 14 3 4
## 268 No 12 3 1
## 269 No 20 4 3
## 270 No 15 3 3
## 271 No 22 4 2
## 272 No 12 3 3
## 273 No 21 4 4
## 274 No 13 3 1
## 275 No 11 3 4
## 276 No 13 3 4
## 277 No 13 3 4
## 278 No 19 3 1
## 279 Yes 11 3 4
## 280 Yes 16 3 2
## 281 Yes 17 3 1
## 282 Yes 13 3 3
## 283 No 17 3 4
## 284 No 12 3 4
## 285 No 13 3 4
## 286 Yes 12 3 2
## 287 Yes 23 4 1
## 288 No 11 3 3
## 289 No 14 3 3
## 290 No 16 3 2
## 291 No 14 3 4
## 292 No 15 3 3
## 293 No 16 3 4
## 294 No 18 3 1
## 295 Yes 21 4 4
## 296 Yes 11 3 3
## 297 No 17 3 3
## 298 Yes 24 4 4
## 299 Yes 22 4 1
## 300 Yes 13 3 4
## 301 No 14 3 4
## 302 No 22 4 4
## 303 No 12 3 4
## 304 No 19 3 2
## 305 No 24 4 1
## 306 No 17 3 4
## 307 No 18 3 2
## 308 No 17 3 4
## 309 Yes 14 3 4
## 310 No 22 4 3
## 311 No 17 3 2
## 312 No 15 3 3
## 313 No 12 3 1
## 314 No 17 3 3
## 315 No 14 3 4
## 316 Yes 17 3 3
## 317 No 18 3 4
## 318 No 12 3 2
## 319 Yes 12 3 4
## 320 Yes 12 3 4
## 321 No 20 4 3
## 322 No 12 3 4
## 323 No 12 3 2
## 324 Yes 23 4 1
## 325 No 16 3 3
## 326 No 19 3 3
## 327 Yes 14 3 4
## 328 Yes 17 3 3
## 329 Yes 16 3 3
## 330 No 14 3 3
## 331 No 14 3 1
## 332 No 11 3 3
## 333 Yes 12 3 3
## 334 No 11 3 4
## 335 No 21 4 4
## 336 No 22 4 2
## 337 No 11 3 4
## 338 No 17 3 3
## 339 Yes 14 3 4
## 340 No 13 3 4
## 341 Yes 14 3 4
## 342 Yes 12 3 2
## 343 No 15 3 3
## 344 No 20 4 3
## 345 No 19 3 3
## 346 No 12 3 1
## 347 No 11 3 4
## 348 No 20 4 1
## 349 No 13 3 4
## 350 No 11 3 3
## 351 No 13 3 2
## 352 No 11 3 2
## 353 Yes 13 3 4
## 354 Yes 18 3 3
## 355 Yes 13 3 4
## 356 No 18 3 4
## 357 No 19 3 3
## 358 No 16 3 2
## 359 Yes 22 4 2
## 360 No 11 3 3
## 361 No 14 3 1
## 362 No 17 3 4
## 363 No 15 3 4
## 364 No 19 3 4
## 365 No 14 3 4
## 366 No 11 3 4
## 367 No 13 3 3
## 368 No 12 3 4
## 369 No 16 3 4
## 370 No 16 3 3
## 371 No 12 3 3
## 372 No 11 3 3
## 373 No 18 3 1
## 374 No 11 3 1
## 375 No 11 3 1
## 376 Yes 13 3 4
## 377 No 16 3 3
## 378 Yes 12 3 3
## 379 Yes 18 3 1
## 380 Yes 11 3 2
## 381 No 11 3 2
## 382 No 23 4 4
## 383 No 11 3 1
## 384 No 13 3 3
## 385 Yes 12 3 3
## 386 No 13 3 2
## 387 No 14 3 1
## 388 No 12 3 2
## 389 No 15 3 3
## 390 Yes 11 3 3
## 391 No 17 3 2
## 392 Yes 19 3 3
## 393 Yes 13 3 4
## 394 No 19 3 4
## 395 Yes 14 3 4
## 396 Yes 18 3 2
## 397 No 13 3 3
## 398 No 15 3 4
## 399 No 21 4 1
## 400 Yes 18 3 2
## 401 No 20 4 3
## 402 No 16 3 2
## 403 No 12 3 3
## 404 No 12 3 3
## 405 No 11 3 4
## 406 Yes 14 3 3
## 407 No 14 3 1
## 408 No 14 3 3
## 409 No 16 3 3
## 410 No 24 4 3
## 411 No 21 4 3
## 412 No 12 3 2
## 413 No 21 4 1
## 414 No 13 3 3
## 415 No 16 3 4
## 416 No 14 3 3
## 417 No 14 3 3
## 418 No 18 3 4
## 419 No 13 3 2
## 420 No 18 3 3
## 421 No 15 3 3
## 422 Yes 15 3 1
## 423 Yes 18 3 2
## 424 No 15 3 3
## 425 No 11 3 3
## 426 No 13 3 3
## 427 No 13 3 2
## 428 No 17 3 1
## 429 Yes 14 3 4
## 430 No 13 3 2
## 431 Yes 11 3 1
## 432 No 16 3 2
## 433 No 20 4 1
## 434 No 13 3 3
## 435 No 12 3 2
## 436 No 18 3 1
## 437 No 17 3 4
## 438 No 13 3 4
## 439 Yes 14 3 3
## 440 No 13 3 3
## 441 Yes 14 3 4
## 442 No 17 3 3
## 443 No 11 3 3
## 444 Yes 18 3 1
## 445 Yes 17 3 3
## 446 No 12 3 3
## 447 No 15 3 4
## 448 No 18 3 3
## 449 No 11 3 4
## 450 No 15 3 1
## 451 Yes 13 3 1
## 452 No 13 3 3
## 453 Yes 18 3 4
## 454 No 14 3 2
## 455 No 11 3 1
## 456 No 14 3 2
## 457 No 11 3 1
## 458 Yes 22 4 4
## 459 No 22 4 4
## 460 No 16 3 3
## 461 No 17 3 4
## 462 No 11 3 3
## 463 No 11 3 4
## 464 No 20 4 4
## 465 Yes 16 3 4
## 466 Yes 11 3 3
## 467 Yes 21 4 4
## 468 No 12 3 2
## 469 No 18 3 4
## 470 No 11 3 3
## 471 No 11 3 3
## 472 Yes 24 4 2
## 473 Yes 14 3 2
## 474 No 13 3 2
## 475 No 16 3 4
## 476 Yes 21 4 3
## 477 No 19 3 4
## 478 No 12 3 1
## 479 No 13 3 3
## 480 Yes 25 4 1
## 481 No 12 3 1
## 482 Yes 19 3 2
## 483 Yes 15 3 2
## 484 Yes 18 3 3
## 485 No 12 3 4
## 486 Yes 11 3 1
## 487 No 13 3 3
## 488 No 17 3 4
## 489 Yes 13 3 4
## 490 No 11 3 4
## 491 Yes 11 3 4
## 492 Yes 11 3 2
## 493 No 11 3 3
## 494 No 19 3 4
## 495 Yes 13 3 1
## 496 No 14 3 3
## 497 No 21 4 4
## 498 Yes 12 3 3
## 499 No 13 3 2
## 500 No 19 3 3
## 501 Yes 14 3 4
## 502 Yes 14 3 2
## 503 Yes 11 3 3
## 504 No 11 3 3
## 505 No 19 3 2
## 506 No 12 3 1
## 507 Yes 13 3 2
## 508 No 11 3 2
## 509 No 17 3 3
## 510 No 12 3 4
## 511 No 11 3 3
## 512 No 21 4 2
## 513 No 13 3 1
## 514 Yes 12 3 3
## 515 No 24 4 3
## 516 No 18 3 4
## 517 Yes 18 3 3
## 518 No 22 4 2
## 519 No 12 3 1
## 520 No 16 3 4
## 521 No 16 3 3
## 522 Yes 17 3 3
## 523 No 17 3 3
## 524 Yes 17 3 3
## 525 No 17 3 1
## 526 No 12 3 1
## 527 Yes 11 3 1
## 528 Yes 12 3 4
## 529 No 18 3 1
## 530 Yes 18 3 1
## 531 No 18 3 1
## 532 No 13 3 1
## 533 No 24 4 3
## 534 No 18 3 2
## 535 Yes 11 3 4
## 536 No 14 3 4
## 537 No 16 3 3
## 538 Yes 11 3 3
## 539 Yes 16 3 2
## 540 No 13 3 4
## 541 No 13 3 1
## 542 No 19 3 2
## 543 Yes 15 3 4
## 544 No 14 3 2
## 545 No 11 3 3
## 546 No 12 3 2
## 547 No 11 3 3
## 548 No 14 3 4
## 549 No 17 3 3
## 550 No 16 3 1
## 551 No 12 3 2
## 552 No 13 3 4
## 553 No 21 4 4
## 554 No 17 3 1
## 555 No 14 3 4
## 556 Yes 11 3 3
## 557 No 11 3 3
## 558 Yes 13 3 4
## 559 No 13 3 4
## 560 No 17 3 2
## 561 No 12 3 3
## 562 Yes 14 3 2
## 563 No 14 3 2
## 564 No 20 4 3
## 565 No 21 4 3
## 566 Yes 12 3 3
## 567 No 13 3 4
## 568 No 11 3 4
## 569 No 17 3 1
## 570 Yes 18 3 4
## 571 No 21 4 3
## 572 No 19 3 1
## 573 Yes 12 3 3
## 574 No 21 4 3
## 575 No 20 4 4
## 576 No 18 3 3
## 577 No 14 3 1
## 578 No 14 3 4
## 579 No 13 3 4
## 580 Yes 11 3 2
## 581 No 11 3 3
## 582 No 14 3 2
## 583 Yes 16 3 3
## 584 Yes 20 4 1
## 585 Yes 13 3 4
## 586 Yes 15 3 3
## 587 Yes 12 3 4
## 588 No 23 4 2
## 589 No 18 3 1
## 590 Yes 15 3 3
## 591 Yes 14 3 2
## 592 Yes 23 4 3
## 593 No 15 3 4
## 594 No 14 3 4
## 595 No 13 3 4
## 596 No 22 4 1
## 597 No 16 3 1
## 598 No 22 4 2
## 599 Yes 20 4 2
## 600 Yes 16 3 1
## 601 No 13 3 3
## 602 No 14 3 2
## 603 Yes 12 3 3
## 604 No 13 3 1
## 605 No 13 3 3
## 606 No 19 3 3
## 607 No 11 3 4
## 608 Yes 24 4 3
## 609 No 12 3 4
## 610 No 19 3 4
## 611 No 12 3 2
## 612 Yes 17 3 1
## 613 No 20 4 1
## 614 Yes 13 3 2
## 615 No 11 3 1
## 616 No 14 3 3
## 617 No 11 3 4
## 618 Yes 21 4 3
## 619 No 15 3 1
## 620 No 18 3 3
## 621 Yes 18 3 2
## 622 Yes 19 3 3
## 623 No 16 3 3
## 624 Yes 16 3 3
## 625 No 11 3 3
## 626 No 11 3 2
## 627 Yes 12 3 3
## 628 Yes 14 3 2
## 629 No 18 3 2
## 630 No 14 3 2
## 631 No 20 4 2
## 632 No 21 4 1
## 633 Yes 12 3 3
## 634 No 22 4 1
## 635 No 16 3 1
## 636 No 13 3 2
## 637 No 17 3 4
## 638 No 18 3 3
## 639 Yes 11 3 2
## 640 No 11 3 2
## 641 No 22 4 2
## 642 No 12 3 2
## 643 No 15 3 2
## 644 Yes 23 4 2
## 645 No 17 3 1
## 646 No 11 3 1
## 647 No 12 3 4
## 648 No 15 3 3
## 649 No 14 3 2
## 650 Yes 14 3 2
## 651 No 19 3 2
## 652 Yes 18 3 2
## 653 No 17 3 3
## 654 No 21 4 2
## 655 No 16 3 3
## 656 Yes 13 3 3
## 657 No 16 3 4
## 658 No 20 4 1
## 659 Yes 15 3 4
## 660 No 13 3 3
## 661 No 15 3 4
## 662 No 12 3 3
## 663 Yes 12 3 2
## 664 No 20 4 1
## 665 No 20 4 3
## 666 Yes 12 3 4
## 667 No 14 3 4
## 668 No 13 3 1
## 669 No 18 3 1
## 670 No 14 3 1
## 671 No 13 3 1
## 672 No 14 3 3
## 673 No 14 3 4
## 674 Yes 19 3 1
## 675 No 17 3 1
## 676 No 14 3 3
## 677 No 15 3 1
## 678 No 11 3 1
## 679 No 13 3 2
## 680 No 15 3 2
## 681 No 12 3 1
## 682 No 20 4 1
## 683 No 14 3 2
## 684 Yes 16 3 2
## 685 No 11 3 3
## 686 No 25 4 4
## 687 Yes 12 3 1
## 688 No 21 4 4
## 689 No 22 4 3
## 690 No 13 3 4
## 691 No 11 3 3
## 692 Yes 12 3 4
## 693 No 23 4 2
## 694 Yes 23 4 3
## 695 No 14 3 3
## 696 Yes 18 3 1
## 697 No 25 4 2
## 698 No 16 3 4
## 699 Yes 12 3 3
## 700 No 11 3 1
## 701 No 11 3 4
## 702 No 20 4 1
## 703 Yes 11 3 2
## 704 Yes 11 3 3
## 705 No 17 3 4
## 706 No 14 3 4
## 707 No 15 3 2
## 708 No 18 3 4
## 709 No 11 3 2
## 710 No 11 3 4
## 711 Yes 23 4 4
## 712 No 12 3 3
## 713 No 11 3 3
## 714 No 11 3 1
## 715 No 15 3 2
## 716 No 11 3 3
## 717 No 18 3 1
## 718 No 13 3 4
## 719 Yes 24 4 1
## 720 No 17 3 2
## 721 No 15 3 3
## 722 No 17 3 1
## 723 No 14 3 3
## 724 No 11 3 2
## 725 No 13 3 4
## 726 No 12 3 4
## 727 No 15 3 2
## 728 Yes 17 3 4
## 729 Yes 18 3 2
## 730 No 14 3 3
## 731 No 21 4 3
## 732 Yes 18 3 1
## 733 No 12 3 1
## 734 No 12 3 4
## 735 No 13 3 3
## 736 No 14 3 2
## 737 No 11 3 1
## 738 No 17 3 4
## 739 No 16 3 2
## 740 No 14 3 4
## 741 No 18 3 4
## 742 No 21 4 3
## 743 No 17 3 1
## 744 No 13 3 3
## 745 Yes 22 4 2
## 746 No 14 3 2
## 747 Yes 15 3 4
## 748 No 20 4 3
## 749 No 13 3 2
## 750 No 14 3 1
## 751 Yes 14 3 2
## 752 Yes 11 3 1
## 753 Yes 15 3 3
## 754 No 21 4 3
## 755 No 12 3 1
## 756 No 14 3 3
## 757 Yes 25 4 4
## 758 No 14 3 2
## 759 No 19 3 4
## 760 Yes 16 3 1
## 761 Yes 20 4 3
## 762 Yes 11 3 3
## 763 No 13 3 1
## 764 No 12 3 1
## 765 No 19 3 3
## 766 Yes 14 3 1
## 767 No 13 3 3
## 768 No 15 3 3
## 769 No 11 3 3
## 770 No 13 3 4
## 771 No 14 3 3
## 772 No 25 4 3
## 773 No 25 4 4
## 774 Yes 17 3 1
## 775 Yes 14 3 3
## 776 No 18 3 4
## 777 No 21 4 1
## 778 No 12 3 3
## 779 No 20 4 3
## 780 Yes 14 3 2
## 781 Yes 22 4 4
## 782 No 11 3 1
## 783 Yes 11 3 3
## 784 No 12 3 1
## 785 No 11 3 4
## 786 No 11 3 3
## 787 No 11 3 4
## 788 No 15 3 1
## 789 No 12 3 2
## 790 No 18 3 4
## 791 No 25 4 1
## 792 No 15 3 4
## 793 Yes 19 3 4
## 794 No 13 3 2
## 795 Yes 15 3 1
## 796 Yes 11 3 1
## 797 Yes 14 3 2
## 798 Yes 17 3 3
## 799 Yes 25 4 2
## 800 No 20 4 1
## 801 No 19 3 1
## 802 Yes 13 3 3
## 803 Yes 14 3 4
## 804 Yes 22 4 1
## 805 No 12 3 3
## 806 Yes 13 3 4
## 807 No 11 3 2
## 808 No 24 4 1
## 809 No 12 3 2
## 810 Yes 16 3 4
## 811 No 11 3 3
## 812 No 11 3 2
## 813 Yes 12 3 4
## 814 No 11 3 3
## 815 No 19 3 4
## 816 No 13 3 2
## 817 Yes 24 4 2
## 818 No 11 3 4
## 819 No 13 3 4
## 820 Yes 11 3 4
## 821 No 17 3 4
## 822 No 14 3 4
## 823 No 21 4 4
## 824 No 12 3 3
## 825 Yes 12 3 2
## 826 No 17 3 4
## 827 No 13 3 1
## 828 Yes 12 3 4
## 829 No 14 3 2
## 830 No 11 3 3
## 831 Yes 15 3 3
## 832 Yes 19 3 4
## 833 No 12 3 3
## 834 No 25 4 3
## 835 Yes 15 3 4
## 836 No 13 3 4
## 837 Yes 15 3 4
## 838 No 12 3 4
## 839 Yes 12 3 3
## 840 No 12 3 4
## 841 No 13 3 3
## 842 No 13 3 1
## 843 No 22 4 3
## 844 No 11 3 4
## 845 No 12 3 1
## 846 No 12 3 4
## 847 No 14 3 4
## 848 No 17 3 1
## 849 Yes 12 3 1
## 850 No 18 3 1
## 851 Yes 11 3 3
## 852 No 13 3 1
## 853 Yes 12 3 4
## 854 No 19 3 3
## 855 Yes 11 3 4
## 856 No 13 3 1
## 857 Yes 11 3 3
## 858 No 24 4 1
## 859 No 21 4 4
## 860 No 11 3 4
## 861 No 14 3 2
## 862 No 14 3 4
## 863 Yes 13 3 2
## 864 Yes 12 3 4
## 865 Yes 18 3 4
## 866 No 11 3 3
## 867 No 18 3 1
## 868 Yes 17 3 3
## 869 Yes 19 3 3
## 870 No 11 3 4
## StandardHours StockOptionLevel TotalWorkingYears TrainingTimesLastYear
## 1 80 1 8 3
## 2 80 0 21 2
## 3 80 0 10 2
## 4 80 2 14 3
## 5 80 0 6 2
## 6 80 2 9 4
## 7 80 0 7 5
## 8 80 3 8 5
## 9 80 1 1 2
## 10 80 1 8 3
## 11 80 0 21 2
## 12 80 1 3 2
## 13 80 0 17 3
## 14 80 1 1 3
## 15 80 0 10 3
## 16 80 1 9 2
## 17 80 1 8 2
## 18 80 0 7 2
## 19 80 3 6 3
## 20 80 1 10 5
## 21 80 1 13 2
## 22 80 0 12 3
## 23 80 1 10 3
## 24 80 0 10 3
## 25 80 0 6 3
## 26 80 1 26 5
## 27 80 1 10 3
## 28 80 0 6 3
## 29 80 0 15 2
## 30 80 1 5 3
## 31 80 3 9 2
## 32 80 3 14 6
## 33 80 1 28 2
## 34 80 1 10 2
## 35 80 0 8 1
## 36 80 0 5 3
## 37 80 0 15 3
## 38 80 3 16 3
## 39 80 0 36 4
## 40 80 1 3 4
## 41 80 1 37 0
## 42 80 0 9 3
## 43 80 1 17 2
## 44 80 0 24 2
## 45 80 1 1 2
## 46 80 0 12 3
## 47 80 0 10 2
## 48 80 2 9 2
## 49 80 0 0 3
## 50 80 1 6 1
## 51 80 0 8 3
## 52 80 1 32 3
## 53 80 1 10 5
## 54 80 0 9 5
## 55 80 0 11 2
## 56 80 2 5 2
## 57 80 0 7 2
## 58 80 0 10 3
## 59 80 2 15 2
## 60 80 0 1 4
## 61 80 1 16 6
## 62 80 0 10 0
## 63 80 1 3 1
## 64 80 0 0 4
## 65 80 1 1 3
## 66 80 2 7 5
## 67 80 0 17 3
## 68 80 0 5 6
## 69 80 1 5 2
## 70 80 0 17 3
## 71 80 1 12 3
## 72 80 0 6 4
## 73 80 0 8 1
## 74 80 1 6 4
## 75 80 0 10 2
## 76 80 0 12 2
## 77 80 0 10 3
## 78 80 0 27 5
## 79 80 0 23 2
## 80 80 3 1 4
## 81 80 0 15 2
## 82 80 1 17 3
## 83 80 1 10 1
## 84 80 2 13 2
## 85 80 0 18 2
## 86 80 0 30 4
## 87 80 0 20 2
## 88 80 1 5 2
## 89 80 0 9 0
## 90 80 0 22 2
## 91 80 1 1 3
## 92 80 1 11 3
## 93 80 0 7 3
## 94 80 0 10 4
## 95 80 0 21 5
## 96 80 0 20 3
## 97 80 1 23 2
## 98 80 1 17 2
## 99 80 3 4 3
## 100 80 1 7 2
## 101 80 0 6 3
## 102 80 1 13 5
## 103 80 1 6 3
## 104 80 1 5 3
## 105 80 0 35 2
## 106 80 1 8 2
## 107 80 1 10 1
## 108 80 1 35 0
## 109 80 1 13 2
## 110 80 0 4 4
## 111 80 1 3 2
## 112 80 1 26 2
## 113 80 0 18 4
## 114 80 1 16 2
## 115 80 3 15 2
## 116 80 0 10 2
## 117 80 0 5 4
## 118 80 1 10 2
## 119 80 1 13 2
## 120 80 0 14 2
## 121 80 1 10 2
## 122 80 0 2 6
## 123 80 1 18 2
## 124 80 0 8 2
## 125 80 0 10 3
## 126 80 0 10 2
## 127 80 0 10 5
## 128 80 2 10 2
## 129 80 0 20 3
## 130 80 1 25 5
## 131 80 1 10 3
## 132 80 0 8 1
## 133 80 3 7 4
## 134 80 0 7 3
## 135 80 1 9 3
## 136 80 1 8 2
## 137 80 1 1 1
## 138 80 1 22 2
## 139 80 0 8 2
## 140 80 0 12 3
## 141 80 1 33 0
## 142 80 2 2 3
## 143 80 1 13 3
## 144 80 1 7 5
## 145 80 3 15 0
## 146 80 1 4 3
## 147 80 1 8 5
## 148 80 1 8 6
## 149 80 0 6 2
## 150 80 1 6 5
## 151 80 0 9 2
## 152 80 0 10 2
## 153 80 1 13 3
## 154 80 0 11 3
## 155 80 2 1 3
## 156 80 1 4 2
## 157 80 1 15 4
## 158 80 3 21 4
## 159 80 1 18 1
## 160 80 0 20 6
## 161 80 2 10 1
## 162 80 0 10 2
## 163 80 0 6 3
## 164 80 0 10 1
## 165 80 2 12 3
## 166 80 0 2 3
## 167 80 2 27 2
## 168 80 1 10 2
## 169 80 2 18 3
## 170 80 1 11 1
## 171 80 1 10 2
## 172 80 1 16 4
## 173 80 0 28 3
## 174 80 2 10 3
## 175 80 1 22 3
## 176 80 0 2 6
## 177 80 1 24 2
## 178 80 1 6 2
## 179 80 0 9 2
## 180 80 0 12 2
## 181 80 1 15 2
## 182 80 1 11 3
## 183 80 0 18 2
## 184 80 0 9 3
## 185 80 1 8 3
## 186 80 1 5 3
## 187 80 2 7 6
## 188 80 3 29 2
## 189 80 2 28 4
## 190 80 0 5 3
## 191 80 2 11 2
## 192 80 2 9 3
## 193 80 1 19 5
## 194 80 1 14 2
## 195 80 0 5 2
## 196 80 0 1 0
## 197 80 2 10 4
## 198 80 1 22 3
## 199 80 1 24 4
## 200 80 1 1 2
## 201 80 0 22 2
## 202 80 2 10 3
## 203 80 1 14 3
## 204 80 0 10 4
## 205 80 1 6 5
## 206 80 0 8 0
## 207 80 0 7 2
## 208 80 0 17 2
## 209 80 1 8 3
## 210 80 1 12 2
## 211 80 1 21 3
## 212 80 0 21 3
## 213 80 0 4 2
## 214 80 1 8 4
## 215 80 0 5 0
## 216 80 1 8 3
## 217 80 1 18 4
## 218 80 1 24 3
## 219 80 0 5 4
## 220 80 0 8 2
## 221 80 0 6 5
## 222 80 2 5 4
## 223 80 1 7 2
## 224 80 1 1 2
## 225 80 2 10 0
## 226 80 0 12 6
## 227 80 1 1 3
## 228 80 1 4 2
## 229 80 1 4 2
## 230 80 1 30 3
## 231 80 2 10 3
## 232 80 0 2 3
## 233 80 0 25 3
## 234 80 1 16 4
## 235 80 2 25 3
## 236 80 0 17 2
## 237 80 0 24 2
## 238 80 1 6 2
## 239 80 0 6 3
## 240 80 3 19 3
## 241 80 1 10 5
## 242 80 0 22 4
## 243 80 1 6 3
## 244 80 0 6 2
## 245 80 1 10 2
## 246 80 3 8 5
## 247 80 0 11 2
## 248 80 1 3 2
## 249 80 2 12 4
## 250 80 1 22 2
## 251 80 3 1 2
## 252 80 2 12 3
## 253 80 0 1 3
## 254 80 0 2 4
## 255 80 1 16 5
## 256 80 0 7 2
## 257 80 1 2 5
## 258 80 2 8 3
## 259 80 3 9 3
## 260 80 1 7 2
## 261 80 0 3 3
## 262 80 0 11 2
## 263 80 1 8 2
## 264 80 1 3 5
## 265 80 1 6 2
## 266 80 1 6 5
## 267 80 2 16 3
## 268 80 0 1 2
## 269 80 3 9 2
## 270 80 1 7 1
## 271 80 2 10 3
## 272 80 1 11 2
## 273 80 1 9 5
## 274 80 2 11 3
## 275 80 0 36 3
## 276 80 1 28 2
## 277 80 1 2 1
## 278 80 0 9 5
## 279 80 0 6 1
## 280 80 0 4 2
## 281 80 1 10 3
## 282 80 0 20 3
## 283 80 1 12 3
## 284 80 3 13 3
## 285 80 1 7 2
## 286 80 1 15 3
## 287 80 0 1 2
## 288 80 1 3 2
## 289 80 1 10 6
## 290 80 1 3 1
## 291 80 2 8 2
## 292 80 1 11 3
## 293 80 0 7 2
## 294 80 2 14 3
## 295 80 0 21 2
## 296 80 1 5 3
## 297 80 0 10 2
## 298 80 0 9 3
## 299 80 0 4 0
## 300 80 0 5 4
## 301 80 1 10 3
## 302 80 1 9 3
## 303 80 1 8 1
## 304 80 0 10 5
## 305 80 0 7 4
## 306 80 0 6 2
## 307 80 0 8 5
## 308 80 3 6 2
## 309 80 2 17 3
## 310 80 1 4 4
## 311 80 1 9 3
## 312 80 0 22 3
## 313 80 0 7 2
## 314 80 0 10 2
## 315 80 0 10 1
## 316 80 0 9 0
## 317 80 1 6 3
## 318 80 0 4 2
## 319 80 2 8 2
## 320 80 0 1 2
## 321 80 0 5 3
## 322 80 1 10 4
## 323 80 1 10 3
## 324 80 3 19 2
## 325 80 1 21 3
## 326 80 0 1 2
## 327 80 1 23 4
## 328 80 1 9 3
## 329 80 1 20 3
## 330 80 1 21 5
## 331 80 0 23 2
## 332 80 0 14 2
## 333 80 3 6 2
## 334 80 0 9 3
## 335 80 1 30 3
## 336 80 0 14 4
## 337 80 1 5 3
## 338 80 0 7 1
## 339 80 0 5 4
## 340 80 1 1 6
## 341 80 1 6 3
## 342 80 1 2 2
## 343 80 1 9 2
## 344 80 1 1 2
## 345 80 3 8 3
## 346 80 0 21 3
## 347 80 0 5 3
## 348 80 1 6 6
## 349 80 0 6 3
## 350 80 0 30 1
## 351 80 1 18 3
## 352 80 1 10 3
## 353 80 1 16 3
## 354 80 0 8 2
## 355 80 1 23 3
## 356 80 0 15 2
## 357 80 0 5 3
## 358 80 0 6 2
## 359 80 1 9 3
## 360 80 1 16 4
## 361 80 1 34 5
## 362 80 0 1 3
## 363 80 1 33 3
## 364 80 1 22 5
## 365 80 1 23 5
## 366 80 3 36 0
## 367 80 2 15 2
## 368 80 0 9 5
## 369 80 1 4 2
## 370 80 0 10 0
## 371 80 1 4 1
## 372 80 0 10 3
## 373 80 1 24 2
## 374 80 1 8 2
## 375 80 0 2 3
## 376 80 0 32 2
## 377 80 0 18 1
## 378 80 2 14 4
## 379 80 1 6 2
## 380 80 0 7 2
## 381 80 1 21 2
## 382 80 1 8 3
## 383 80 3 15 3
## 384 80 1 3 3
## 385 80 3 18 2
## 386 80 1 15 3
## 387 80 0 10 3
## 388 80 2 8 2
## 389 80 0 17 2
## 390 80 0 3 3
## 391 80 1 6 1
## 392 80 1 5 2
## 393 80 1 4 3
## 394 80 0 22 5
## 395 80 0 8 2
## 396 80 1 3 2
## 397 80 0 26 2
## 398 80 0 2 0
## 399 80 1 13 2
## 400 80 0 16 2
## 401 80 0 11 2
## 402 80 1 11 5
## 403 80 0 7 2
## 404 80 2 9 6
## 405 80 0 6 3
## 406 80 1 21 3
## 407 80 2 13 3
## 408 80 1 7 4
## 409 80 0 31 3
## 410 80 1 22 3
## 411 80 0 6 3
## 412 80 0 10 3
## 413 80 0 8 1
## 414 80 0 4 2
## 415 80 1 3 3
## 416 80 1 15 6
## 417 80 0 12 2
## 418 80 2 4 2
## 419 80 1 14 2
## 420 80 0 10 2
## 421 80 0 5 2
## 422 80 2 15 2
## 423 80 0 12 3
## 424 80 0 0 5
## 425 80 1 5 0
## 426 80 1 18 5
## 427 80 2 1 2
## 428 80 0 3 4
## 429 80 0 4 2
## 430 80 1 13 3
## 431 80 0 5 3
## 432 80 1 6 0
## 433 80 0 20 2
## 434 80 1 1 2
## 435 80 1 11 2
## 436 80 1 8 3
## 437 80 0 5 3
## 438 80 0 8 6
## 439 80 0 3 2
## 440 80 0 10 4
## 441 80 0 10 2
## 442 80 1 9 2
## 443 80 0 5 5
## 444 80 3 8 2
## 445 80 1 24 3
## 446 80 1 17 2
## 447 80 2 19 4
## 448 80 2 10 2
## 449 80 0 10 2
## 450 80 1 10 2
## 451 80 1 10 6
## 452 80 0 6 3
## 453 80 0 10 2
## 454 80 0 10 2
## 455 80 1 21 3
## 456 80 0 21 3
## 457 80 2 10 2
## 458 80 0 11 2
## 459 80 1 5 3
## 460 80 0 10 2
## 461 80 1 8 4
## 462 80 0 15 4
## 463 80 0 16 3
## 464 80 0 9 3
## 465 80 1 6 4
## 466 80 0 6 3
## 467 80 0 7 3
## 468 80 0 5 3
## 469 80 0 7 6
## 470 80 2 5 3
## 471 80 1 6 3
## 472 80 0 1 3
## 473 80 0 17 3
## 474 80 0 9 2
## 475 80 1 4 5
## 476 80 0 14 4
## 477 80 2 9 2
## 478 80 2 8 5
## 479 80 0 12 2
## 480 80 1 16 2
## 481 80 1 6 5
## 482 80 1 8 2
## 483 80 0 16 3
## 484 80 1 19 3
## 485 80 1 40 3
## 486 80 0 8 0
## 487 80 0 1 3
## 488 80 1 5 1
## 489 80 0 23 2
## 490 80 0 10 2
## 491 80 0 22 4
## 492 80 0 25 2
## 493 80 0 8 2
## 494 80 0 11 3
## 495 80 1 10 4
## 496 80 1 29 2
## 497 80 2 8 3
## 498 80 3 4 3
## 499 80 2 17 3
## 500 80 1 10 1
## 501 80 0 31 0
## 502 80 0 6 4
## 503 80 2 19 3
## 504 80 1 10 1
## 505 80 2 26 2
## 506 80 1 12 2
## 507 80 0 1 2
## 508 80 0 14 5
## 509 80 1 13 2
## 510 80 0 23 0
## 511 80 1 10 1
## 512 80 1 13 2
## 513 80 1 10 3
## 514 80 0 15 1
## 515 80 0 3 3
## 516 80 1 13 3
## 517 80 3 1 2
## 518 80 3 7 6
## 519 80 1 10 6
## 520 80 0 5 3
## 521 80 0 6 3
## 522 80 3 1 3
## 523 80 1 25 2
## 524 80 1 31 5
## 525 80 1 7 6
## 526 80 1 30 2
## 527 80 1 9 3
## 528 80 0 6 2
## 529 80 0 6 3
## 530 80 3 7 2
## 531 80 1 20 4
## 532 80 0 15 5
## 533 80 1 10 3
## 534 80 1 9 6
## 535 80 0 7 4
## 536 80 3 7 3
## 537 80 0 10 2
## 538 80 1 4 5
## 539 80 0 6 4
## 540 80 0 9 3
## 541 80 3 10 4
## 542 80 1 14 1
## 543 80 1 1 2
## 544 80 0 14 3
## 545 80 0 6 3
## 546 80 0 10 3
## 547 80 1 29 3
## 548 80 0 10 6
## 549 80 1 19 2
## 550 80 0 6 3
## 551 80 1 22 3
## 552 80 1 6 6
## 553 80 0 10 2
## 554 80 2 13 2
## 555 80 1 5 5
## 556 80 1 17 3
## 557 80 0 19 3
## 558 80 1 6 3
## 559 80 1 10 3
## 560 80 1 8 3
## 561 80 0 13 3
## 562 80 0 23 3
## 563 80 1 4 2
## 564 80 1 13 2
## 565 80 2 7 2
## 566 80 0 6 2
## 567 80 0 9 5
## 568 80 1 10 4
## 569 80 0 10 6
## 570 80 1 22 2
## 571 80 1 14 3
## 572 80 0 1 3
## 573 80 1 7 2
## 574 80 2 10 5
## 575 80 2 6 5
## 576 80 1 7 2
## 577 80 0 20 3
## 578 80 0 7 5
## 579 80 0 10 2
## 580 80 2 6 2
## 581 80 3 7 6
## 582 80 0 16 2
## 583 80 1 15 2
## 584 80 0 8 2
## 585 80 0 9 5
## 586 80 1 15 2
## 587 80 3 17 3
## 588 80 0 10 4
## 589 80 0 8 6
## 590 80 1 4 3
## 591 80 0 4 2
## 592 80 0 16 2
## 593 80 1 5 3
## 594 80 1 10 3
## 595 80 2 18 2
## 596 80 1 9 5
## 597 80 0 16 2
## 598 80 1 20 3
## 599 80 1 6 0
## 600 80 1 6 2
## 601 80 1 1 2
## 602 80 1 9 3
## 603 80 3 9 4
## 604 80 1 10 5
## 605 80 0 2 3
## 606 80 0 32 3
## 607 80 0 20 2
## 608 80 1 8 3
## 609 80 0 8 2
## 610 80 0 3 2
## 611 80 1 10 0
## 612 80 0 10 3
## 613 80 0 13 3
## 614 80 0 1 3
## 615 80 1 10 2
## 616 80 1 15 3
## 617 80 0 8 5
## 618 80 1 9 2
## 619 80 1 9 5
## 620 80 2 1 3
## 621 80 0 1 5
## 622 80 0 20 3
## 623 80 0 10 2
## 624 80 0 9 2
## 625 80 0 8 2
## 626 80 3 5 2
## 627 80 2 5 3
## 628 80 1 12 3
## 629 80 1 23 4
## 630 80 0 9 3
## 631 80 1 19 2
## 632 80 0 14 3
## 633 80 0 19 1
## 634 80 1 7 2
## 635 80 1 10 1
## 636 80 1 2 2
## 637 80 1 23 3
## 638 80 1 9 2
## 639 80 2 6 3
## 640 80 1 5 3
## 641 80 1 1 2
## 642 80 1 15 3
## 643 80 0 31 3
## 644 80 1 5 2
## 645 80 1 5 2
## 646 80 1 15 2
## 647 80 0 0 0
## 648 80 3 3 3
## 649 80 0 16 2
## 650 80 0 10 3
## 651 80 0 3 3
## 652 80 1 12 3
## 653 80 0 20 3
## 654 80 1 15 3
## 655 80 0 4 3
## 656 80 1 5 3
## 657 80 2 16 5
## 658 80 1 26 2
## 659 80 0 8 3
## 660 80 0 6 3
## 661 80 2 10 2
## 662 80 1 14 3
## 663 80 1 13 5
## 664 80 1 3 4
## 665 80 0 10 2
## 666 80 0 10 5
## 667 80 1 11 5
## 668 80 3 8 2
## 669 80 1 10 3
## 670 80 0 36 2
## 671 80 0 16 3
## 672 80 2 6 5
## 673 80 0 5 5
## 674 80 1 10 3
## 675 80 0 5 0
## 676 80 1 26 2
## 677 80 1 10 2
## 678 80 1 10 2
## 679 80 3 18 3
## 680 80 0 13 2
## 681 80 0 5 1
## 682 80 1 8 1
## 683 80 2 10 2
## 684 80 1 12 2
## 685 80 1 5 2
## 686 80 1 13 6
## 687 80 0 9 1
## 688 80 0 7 3
## 689 80 0 1 3
## 690 80 3 13 3
## 691 80 0 10 2
## 692 80 1 10 2
## 693 80 0 14 6
## 694 80 0 3 4
## 695 80 2 6 2
## 696 80 0 3 3
## 697 80 1 23 3
## 698 80 0 16 3
## 699 80 0 0 2
## 700 80 1 25 2
## 701 80 0 1 3
## 702 80 0 6 3
## 703 80 1 16 6
## 704 80 0 6 3
## 705 80 0 7 2
## 706 80 0 16 3
## 707 80 1 14 2
## 708 80 0 8 3
## 709 80 1 5 3
## 710 80 1 31 3
## 711 80 2 9 2
## 712 80 1 32 3
## 713 80 0 7 4
## 714 80 1 16 2
## 715 80 0 10 1
## 716 80 1 1 2
## 717 80 1 10 3
## 718 80 0 10 4
## 719 80 0 13 2
## 720 80 3 10 3
## 721 80 1 10 2
## 722 80 3 9 2
## 723 80 2 10 2
## 724 80 0 15 2
## 725 80 0 8 3
## 726 80 2 5 3
## 727 80 1 10 3
## 728 80 1 5 4
## 729 80 0 1 3
## 730 80 1 3 2
## 731 80 1 4 2
## 732 80 0 12 3
## 733 80 0 1 2
## 734 80 0 6 2
## 735 80 0 1 4
## 736 80 0 9 5
## 737 80 1 21 2
## 738 80 0 13 2
## 739 80 0 5 3
## 740 80 0 9 3
## 741 80 0 6 3
## 742 80 1 10 3
## 743 80 0 10 2
## 744 80 0 3 3
## 745 80 1 6 3
## 746 80 3 2 3
## 747 80 3 4 3
## 748 80 0 14 3
## 749 80 3 6 2
## 750 80 0 4 2
## 751 80 0 2 3
## 752 80 0 3 2
## 753 80 1 32 3
## 754 80 3 14 2
## 755 80 1 16 5
## 756 80 0 9 5
## 757 80 1 10 2
## 758 80 1 20 0
## 759 80 1 7 5
## 760 80 0 26 2
## 761 80 0 3 5
## 762 80 1 26 3
## 763 80 0 19 4
## 764 80 1 19 3
## 765 80 1 4 1
## 766 80 0 10 3
## 767 80 0 10 3
## 768 80 1 20 2
## 769 80 1 12 3
## 770 80 1 15 2
## 771 80 0 9 6
## 772 80 3 24 2
## 773 80 0 20 1
## 774 80 1 2 0
## 775 80 1 24 3
## 776 80 0 2 3
## 777 80 1 6 3
## 778 80 3 1 3
## 779 80 0 7 5
## 780 80 3 4 3
## 781 80 0 4 5
## 782 80 0 20 4
## 783 80 1 7 4
## 784 80 1 10 3
## 785 80 1 4 3
## 786 80 0 9 3
## 787 80 0 15 2
## 788 80 0 11 3
## 789 80 3 34 2
## 790 80 0 2 3
## 791 80 1 10 3
## 792 80 0 9 3
## 793 80 1 10 6
## 794 80 3 17 2
## 795 80 2 7 0
## 796 80 0 10 3
## 797 80 0 21 2
## 798 80 0 1 6
## 799 80 0 1 2
## 800 80 1 13 3
## 801 80 2 10 3
## 802 80 0 10 2
## 803 80 0 21 3
## 804 80 0 9 2
## 805 80 1 17 3
## 806 80 1 15 1
## 807 80 0 6 3
## 808 80 2 2 6
## 809 80 1 10 2
## 810 80 1 6 3
## 811 80 2 12 4
## 812 80 1 7 2
## 813 80 1 5 2
## 814 80 1 27 2
## 815 80 1 3 3
## 816 80 1 15 5
## 817 80 0 12 4
## 818 80 0 14 3
## 819 80 0 6 3
## 820 80 0 6 0
## 821 80 2 6 3
## 822 80 1 10 2
## 823 80 2 8 2
## 824 80 1 2 5
## 825 80 2 7 2
## 826 80 2 23 0
## 827 80 3 10 2
## 828 80 0 4 3
## 829 80 1 9 4
## 830 80 1 32 2
## 831 80 1 9 2
## 832 80 0 0 2
## 833 80 3 6 2
## 834 80 0 1 4
## 835 80 1 34 3
## 836 80 1 9 6
## 837 80 0 8 2
## 838 80 0 10 3
## 839 80 1 28 4
## 840 80 0 29 3
## 841 80 0 0 2
## 842 80 0 10 3
## 843 80 0 31 3
## 844 80 1 10 0
## 845 80 0 6 3
## 846 80 1 10 2
## 847 80 0 1 3
## 848 80 3 19 5
## 849 80 2 8 6
## 850 80 1 8 3
## 851 80 1 4 2
## 852 80 0 10 5
## 853 80 0 10 3
## 854 80 0 9 2
## 855 80 0 4 2
## 856 80 1 1 3
## 857 80 0 8 5
## 858 80 1 10 2
## 859 80 1 7 2
## 860 80 1 10 2
## 861 80 0 8 6
## 862 80 0 23 3
## 863 80 0 9 3
## 864 80 2 28 2
## 865 80 2 10 4
## 866 80 0 11 2
## 867 80 0 4 2
## 868 80 1 11 4
## 869 80 1 7 2
## 870 80 0 10 5
## WorkLifeBalance YearsAtCompany YearsInCurrentRole
## 1 2 5 2
## 2 4 20 7
## 3 3 2 2
## 4 3 14 10
## 5 3 6 3
## 6 2 9 7
## 7 2 4 2
## 8 3 1 0
## 9 3 1 1
## 10 2 8 2
## 11 3 16 12
## 12 3 3 2
## 13 4 8 5
## 14 3 1 0
## 15 4 7 6
## 16 2 9 8
## 17 4 8 7
## 18 4 1 0
## 19 3 5 0
## 20 3 2 0
## 21 3 3 2
## 22 3 2 2
## 23 3 8 7
## 24 3 5 2
## 25 3 5 0
## 26 3 22 9
## 27 3 9 8
## 28 3 5 2
## 29 2 2 2
## 30 3 4 3
## 31 4 8 7
## 32 3 14 11
## 33 2 7 7
## 34 3 8 0
## 35 3 1 0
## 36 1 5 1
## 37 3 13 12
## 38 3 2 2
## 39 3 7 3
## 40 3 2 2
## 41 2 16 9
## 42 3 8 7
## 43 2 2 2
## 44 3 1 0
## 45 3 1 0
## 46 3 12 9
## 47 3 0 0
## 48 3 8 7
## 49 3 0 0
## 50 1 2 2
## 51 2 0 0
## 52 3 9 8
## 53 3 10 5
## 54 2 9 7
## 55 3 11 7
## 56 3 5 3
## 57 3 2 2
## 58 3 10 9
## 59 3 5 2
## 60 3 1 0
## 61 3 16 7
## 62 3 7 7
## 63 3 2 2
## 64 1 0 0
## 65 1 1 0
## 66 2 6 2
## 67 3 17 11
## 68 4 5 2
## 69 2 3 2
## 70 3 17 12
## 71 3 5 3
## 72 3 5 4
## 73 3 1 0
## 74 3 1 0
## 75 2 8 7
## 76 3 12 8
## 77 3 10 9
## 78 1 26 0
## 79 3 19 7
## 80 3 1 0
## 81 1 1 0
## 82 3 7 7
## 83 3 8 3
## 84 3 7 7
## 85 3 16 14
## 86 3 5 3
## 87 3 7 7
## 88 1 4 2
## 89 3 9 8
## 90 2 2 2
## 91 3 1 0
## 92 1 11 8
## 93 3 0 0
## 94 3 5 2
## 95 3 5 4
## 96 3 20 16
## 97 4 13 12
## 98 4 1 0
## 99 3 3 2
## 100 2 5 4
## 101 4 5 0
## 102 3 13 7
## 103 3 3 2
## 104 4 3 2
## 105 2 9 8
## 106 3 8 7
## 107 3 10 7
## 108 3 10 9
## 109 4 9 7
## 110 3 4 2
## 111 3 3 1
## 112 2 9 8
## 113 3 8 6
## 114 4 1 0
## 115 3 7 7
## 116 3 10 0
## 117 3 4 3
## 118 3 4 3
## 119 3 9 8
## 120 4 14 11
## 121 3 8 7
## 122 3 2 2
## 123 3 5 4
## 124 3 7 7
## 125 2 10 7
## 126 3 10 8
## 127 3 10 2
## 128 2 9 8
## 129 1 20 7
## 130 3 19 17
## 131 2 10 0
## 132 4 5 1
## 133 4 6 5
## 134 3 5 4
## 135 4 9 7
## 136 3 8 7
## 137 3 1 0
## 138 3 10 7
## 139 1 2 2
## 140 3 5 3
## 141 3 19 16
## 142 3 2 2
## 143 3 8 7
## 144 4 5 4
## 145 3 12 11
## 146 2 4 3
## 147 3 8 7
## 148 1 2 2
## 149 3 4 3
## 150 2 5 3
## 151 1 3 1
## 152 2 10 7
## 153 2 13 8
## 154 1 3 2
## 155 3 1 0
## 156 4 2 2
## 157 3 11 8
## 158 3 18 7
## 159 3 8 7
## 160 3 1 0
## 161 2 10 8
## 162 2 10 7
## 163 3 5 0
## 164 3 3 2
## 165 2 11 9
## 166 2 2 2
## 167 3 4 2
## 168 3 6 1
## 169 3 10 9
## 170 3 7 5
## 171 2 8 7
## 172 4 8 7
## 173 2 2 2
## 174 3 9 8
## 175 4 17 13
## 176 4 2 2
## 177 3 5 2
## 178 3 3 2
## 179 3 9 8
## 180 4 8 3
## 181 4 7 7
## 182 3 7 7
## 183 3 3 2
## 184 3 2 0
## 185 3 8 3
## 186 2 5 2
## 187 3 7 7
## 188 3 3 2
## 189 2 10 4
## 190 4 5 4
## 191 3 10 8
## 192 3 3 2
## 193 2 10 7
## 194 3 9 7
## 195 3 4 3
## 196 2 1 0
## 197 3 4 2
## 198 3 9 8
## 199 3 22 6
## 200 3 1 0
## 201 2 1 0
## 202 3 10 4
## 203 3 14 13
## 204 3 7 7
## 205 3 4 3
## 206 3 8 7
## 207 2 4 3
## 208 3 1 0
## 209 3 3 2
## 210 3 9 7
## 211 3 20 7
## 212 4 1 0
## 213 3 1 0
## 214 3 4 3
## 215 3 4 2
## 216 4 3 1
## 217 3 1 0
## 218 3 22 17
## 219 2 5 4
## 220 2 8 5
## 221 3 6 5
## 222 3 1 1
## 223 3 6 5
## 224 1 1 0
## 225 4 5 2
## 226 2 12 8
## 227 3 1 0
## 228 2 4 2
## 229 2 3 2
## 230 3 15 11
## 231 3 10 7
## 232 3 2 2
## 233 1 23 5
## 234 3 6 2
## 235 4 25 12
## 236 1 14 1
## 237 2 22 6
## 238 2 6 4
## 239 3 2 0
## 240 3 14 11
## 241 2 10 9
## 242 3 0 0
## 243 3 5 4
## 244 3 3 2
## 245 2 10 7
## 246 3 4 3
## 247 2 11 9
## 248 3 2 2
## 249 2 6 2
## 250 3 18 16
## 251 2 1 1
## 252 3 7 7
## 253 3 1 0
## 254 3 1 0
## 255 3 9 8
## 256 2 3 2
## 257 2 2 2
## 258 3 3 2
## 259 3 5 3
## 260 2 2 2
## 261 4 1 0
## 262 1 9 7
## 263 1 5 4
## 264 3 3 1
## 265 3 5 3
## 266 3 5 4
## 267 2 14 8
## 268 3 1 0
## 269 3 9 7
## 270 2 6 2
## 271 4 8 7
## 272 3 11 8
## 273 3 9 8
## 274 2 3 2
## 275 3 24 15
## 276 3 5 2
## 277 3 2 1
## 278 3 8 7
## 279 3 6 4
## 280 3 3 2
## 281 3 10 9
## 282 3 18 13
## 283 3 5 3
## 284 3 7 7
## 285 4 7 6
## 286 3 15 14
## 287 3 1 0
## 288 3 2 2
## 289 3 9 7
## 290 2 3 2
## 291 3 5 3
## 292 3 9 8
## 293 2 7 7
## 294 1 13 8
## 295 3 21 7
## 296 3 2 2
## 297 2 10 9
## 298 3 9 7
## 299 3 3 2
## 300 2 3 2
## 301 3 10 8
## 302 2 9 8
## 303 3 4 2
## 304 3 10 7
## 305 3 1 0
## 306 2 5 2
## 307 3 1 0
## 308 3 0 0
## 309 3 8 7
## 310 3 3 2
## 311 2 2 2
## 312 3 20 6
## 313 1 7 2
## 314 3 1 0
## 315 3 2 2
## 316 3 9 0
## 317 3 4 3
## 318 2 4 3
## 319 4 5 4
## 320 3 1 0
## 321 3 3 0
## 322 2 10 9
## 323 2 5 4
## 324 3 16 13
## 325 3 21 6
## 326 3 1 1
## 327 2 22 7
## 328 2 4 3
## 329 3 20 11
## 330 3 20 7
## 331 3 8 7
## 332 2 14 8
## 333 2 5 3
## 334 3 9 7
## 335 3 3 2
## 336 3 13 7
## 337 3 5 2
## 338 2 6 2
## 339 3 0 0
## 340 3 1 0
## 341 4 1 1
## 342 3 2 2
## 343 3 3 2
## 344 3 1 0
## 345 3 4 3
## 346 3 20 8
## 347 2 3 2
## 348 1 6 5
## 349 3 0 0
## 350 2 10 7
## 351 4 13 7
## 352 2 8 7
## 353 1 1 1
## 354 3 2 2
## 355 4 22 14
## 356 3 13 9
## 357 2 5 4
## 358 4 2 2
## 359 3 9 8
## 360 3 15 13
## 361 3 33 18
## 362 3 1 0
## 363 3 32 14
## 364 3 21 7
## 365 3 19 9
## 366 2 7 7
## 367 4 11 8
## 368 4 8 4
## 369 3 2 2
## 370 2 7 7
## 371 3 4 3
## 372 3 9 8
## 373 3 24 9
## 374 1 8 4
## 375 3 2 2
## 376 3 32 6
## 377 3 17 13
## 378 3 0 0
## 379 2 5 4
## 380 3 5 2
## 381 3 3 2
## 382 3 8 7
## 383 3 2 2
## 384 3 0 0
## 385 4 10 0
## 386 3 15 12
## 387 4 10 7
## 388 4 3 2
## 389 2 13 7
## 390 3 3 2
## 391 3 3 2
## 392 2 2 2
## 393 4 4 2
## 394 4 18 13
## 395 3 2 1
## 396 1 2 2
## 397 1 3 2
## 398 3 2 2
## 399 2 13 12
## 400 2 2 2
## 401 3 5 4
## 402 3 5 3
## 403 3 2 2
## 404 3 3 2
## 405 2 6 5
## 406 2 1 0
## 407 3 12 7
## 408 3 7 7
## 409 3 25 8
## 410 3 4 1
## 411 3 5 4
## 412 3 10 8
## 413 3 1 0
## 414 4 0 0
## 415 2 2 2
## 416 3 7 7
## 417 2 11 7
## 418 3 1 0
## 419 2 14 8
## 420 3 10 2
## 421 3 5 2
## 422 3 13 11
## 423 2 7 7
## 424 4 0 0
## 425 3 5 3
## 426 3 1 0
## 427 2 1 0
## 428 4 3 2
## 429 1 3 2
## 430 3 11 9
## 431 3 5 4
## 432 3 4 2
## 433 3 4 3
## 434 3 1 0
## 435 2 1 0
## 436 3 8 7
## 437 2 2 2
## 438 2 7 7
## 439 3 3 2
## 440 2 9 7
## 441 3 8 7
## 442 3 5 3
## 443 1 0 0
## 444 3 2 2
## 445 3 2 1
## 446 2 6 5
## 447 4 13 11
## 448 2 0 0
## 449 3 10 3
## 450 3 10 7
## 451 3 9 7
## 452 2 5 2
## 453 3 10 7
## 454 2 10 4
## 455 1 3 2
## 456 2 21 8
## 457 3 10 0
## 458 1 10 7
## 459 4 3 2
## 460 2 10 4
## 461 3 2 2
## 462 3 4 3
## 463 3 2 2
## 464 2 5 4
## 465 3 1 0
## 466 3 3 2
## 467 2 3 2
## 468 3 1 0
## 469 3 2 2
## 470 3 4 2
## 471 2 5 3
## 472 2 1 0
## 473 4 0 0
## 474 2 6 5
## 475 2 4 2
## 476 3 9 6
## 477 3 1 0
## 478 3 0 0
## 479 1 5 4
## 480 3 16 11
## 481 2 5 3
## 482 3 6 4
## 483 3 15 10
## 484 3 2 2
## 485 2 40 10
## 486 1 6 4
## 487 2 1 0
## 488 2 5 2
## 489 3 1 0
## 490 3 5 1
## 491 3 3 2
## 492 3 3 2
## 493 3 5 2
## 494 1 11 8
## 495 3 10 9
## 496 2 20 6
## 497 2 2 2
## 498 2 4 2
## 499 2 7 7
## 500 3 3 2
## 501 2 10 9
## 502 3 4 2
## 503 3 9 7
## 504 3 10 9
## 505 4 20 17
## 506 3 7 1
## 507 3 1 0
## 508 3 4 2
## 509 3 9 8
## 510 3 22 15
## 511 3 10 7
## 512 3 6 4
## 513 2 5 2
## 514 3 15 14
## 515 2 3 2
## 516 3 4 1
## 517 3 1 0
## 518 2 5 3
## 519 3 9 2
## 520 3 4 2
## 521 3 5 2
## 522 3 1 1
## 523 3 1 0
## 524 3 31 9
## 525 3 1 0
## 526 3 15 7
## 527 4 5 4
## 528 2 6 5
## 529 3 6 4
## 530 3 5 4
## 531 2 19 9
## 532 3 1 0
## 533 3 10 7
## 534 3 5 1
## 535 2 7 7
## 536 4 5 4
## 537 3 1 0
## 538 3 3 2
## 539 3 5 3
## 540 4 6 4
## 541 2 10 7
## 542 3 10 8
## 543 2 1 1
## 544 3 1 0
## 545 3 6 5
## 546 3 10 9
## 547 2 26 9
## 548 3 1 0
## 549 3 10 8
## 550 3 6 3
## 551 3 22 7
## 552 3 5 1
## 553 2 10 1
## 554 2 0 0
## 555 1 3 2
## 556 2 3 0
## 557 3 1 0
## 558 3 6 5
## 559 2 9 8
## 560 3 8 7
## 561 2 8 7
## 562 3 2 2
## 563 3 2 2
## 564 4 11 7
## 565 3 2 2
## 566 3 4 3
## 567 3 6 2
## 568 3 10 8
## 569 3 5 4
## 570 3 12 11
## 571 3 5 4
## 572 2 1 0
## 573 3 7 7
## 574 3 10 8
## 575 4 5 3
## 576 4 7 5
## 577 2 1 0
## 578 3 5 2
## 579 1 9 2
## 580 3 6 0
## 581 2 3 2
## 582 3 1 0
## 583 3 1 0
## 584 3 8 7
## 585 4 4 2
## 586 4 7 2
## 587 3 13 11
## 588 3 5 3
## 589 3 3 2
## 590 3 2 2
## 591 2 4 2
## 592 4 15 9
## 593 4 3 2
## 594 2 9 6
## 595 3 18 15
## 596 3 9 8
## 597 3 13 10
## 598 3 1 0
## 599 3 6 2
## 600 2 2 0
## 601 3 1 0
## 602 2 6 5
## 603 2 8 7
## 604 3 10 8
## 605 3 2 2
## 606 3 5 1
## 607 2 4 3
## 608 3 8 0
## 609 3 7 7
## 610 2 2 2
## 611 3 9 7
## 612 3 8 7
## 613 4 9 7
## 614 4 1 0
## 615 4 8 4
## 616 4 15 10
## 617 3 5 4
## 618 2 4 3
## 619 3 7 7
## 620 3 1 0
## 621 3 1 0
## 622 4 19 10
## 623 3 4 2
## 624 3 9 0
## 625 2 0 0
## 626 3 5 3
## 627 3 5 4
## 628 3 11 10
## 629 3 3 2
## 630 4 8 7
## 631 4 5 2
## 632 2 14 8
## 633 3 1 0
## 634 3 1 0
## 635 2 1 0
## 636 4 2 2
## 637 3 22 6
## 638 2 8 7
## 639 3 6 5
## 640 3 4 3
## 641 3 1 0
## 642 3 7 4
## 643 4 9 7
## 644 3 5 2
## 645 1 1 0
## 646 2 12 11
## 647 3 0 0
## 648 4 3 2
## 649 3 15 13
## 650 1 4 2
## 651 3 3 0
## 652 3 11 7
## 653 2 18 7
## 654 1 0 0
## 655 3 2 2
## 656 3 5 3
## 657 1 10 9
## 658 3 14 9
## 659 3 5 4
## 660 3 6 5
## 661 3 10 8
## 662 3 7 3
## 663 2 10 6
## 664 2 3 2
## 665 3 9 5
## 666 4 3 2
## 667 3 11 10
## 668 3 4 3
## 669 3 10 4
## 670 3 10 9
## 671 4 5 2
## 672 3 6 2
## 673 3 4 2
## 674 2 10 2
## 675 3 3 2
## 676 3 11 4
## 677 3 9 7
## 678 4 10 9
## 679 3 4 2
## 680 4 7 7
## 681 4 5 2
## 682 3 3 2
## 683 2 3 2
## 684 1 5 3
## 685 1 5 2
## 686 4 13 8
## 687 3 8 7
## 688 3 3 2
## 689 2 1 0
## 690 3 11 10
## 691 3 6 3
## 692 2 10 7
## 693 3 1 0
## 694 3 1 0
## 695 2 6 3
## 696 2 3 2
## 697 3 2 2
## 698 4 13 11
## 699 4 0 0
## 700 3 4 2
## 701 3 1 0
## 702 2 6 5
## 703 2 13 2
## 704 3 5 1
## 705 2 2 2
## 706 3 14 3
## 707 2 7 1
## 708 3 3 2
## 709 3 5 4
## 710 3 31 6
## 711 3 9 1
## 712 2 1 0
## 713 2 1 0
## 714 3 13 9
## 715 3 10 7
## 716 3 1 0
## 717 3 10 3
## 718 4 8 7
## 719 4 11 9
## 720 2 9 7
## 721 3 10 7
## 722 2 4 3
## 723 3 4 3
## 724 2 14 8
## 725 3 0 0
## 726 3 4 2
## 727 3 5 4
## 728 4 5 3
## 729 1 1 0
## 730 3 2 1
## 731 4 1 0
## 732 2 1 0
## 733 3 1 0
## 734 3 4 2
## 735 1 1 0
## 736 2 8 7
## 737 2 20 9
## 738 3 6 1
## 739 3 5 2
## 740 3 3 2
## 741 3 2 2
## 742 2 5 4
## 743 3 10 8
## 744 1 3 2
## 745 2 5 3
## 746 3 1 1
## 747 3 2 2
## 748 3 13 9
## 749 4 6 2
## 750 4 3 1
## 751 3 2 2
## 752 4 3 2
## 753 3 30 8
## 754 3 8 7
## 755 1 4 3
## 756 3 5 2
## 757 1 10 6
## 758 2 3 2
## 759 2 0 0
## 760 3 24 10
## 761 3 0 0
## 762 2 26 14
## 763 3 19 2
## 764 3 18 7
## 765 1 3 2
## 766 3 10 7
## 767 3 10 6
## 768 3 1 0
## 769 2 6 3
## 770 3 15 10
## 771 2 7 7
## 772 3 24 13
## 773 3 19 6
## 774 2 1 0
## 775 1 20 8
## 776 3 2 2
## 777 4 5 3
## 778 3 1 0
## 779 3 7 7
## 780 4 2 2
## 781 2 4 3
## 782 3 20 7
## 783 4 4 3
## 784 2 10 7
## 785 1 1 0
## 786 4 3 2
## 787 3 2 2
## 788 2 8 2
## 789 3 1 0
## 790 2 2 2
## 791 3 3 2
## 792 3 3 2
## 793 4 5 4
## 794 3 17 14
## 795 3 7 7
## 796 3 10 8
## 797 3 20 7
## 798 3 1 0
## 799 4 1 1
## 800 3 5 4
## 801 3 5 3
## 802 4 6 5
## 803 3 21 9
## 804 3 8 7
## 805 4 3 2
## 806 3 12 8
## 807 2 3 2
## 808 3 2 2
## 809 2 10 0
## 810 2 5 2
## 811 3 12 9
## 812 2 3 2
## 813 4 5 2
## 814 3 5 2
## 815 3 2 2
## 816 3 14 10
## 817 2 0 0
## 818 4 13 9
## 819 3 5 3
## 820 3 2 0
## 821 3 3 2
## 822 3 3 2
## 823 3 8 7
## 824 2 2 2
## 825 3 3 2
## 826 3 2 2
## 827 3 1 0
## 828 3 3 2
## 829 2 6 1
## 830 3 32 5
## 831 3 9 8
## 832 2 0 0
## 833 3 6 5
## 834 3 1 1
## 835 3 33 9
## 836 3 9 5
## 837 3 6 4
## 838 3 10 7
## 839 3 22 11
## 840 3 22 10
## 841 3 0 0
## 842 2 10 9
## 843 3 9 8
## 844 2 9 7
## 845 3 2 2
## 846 3 10 0
## 847 3 1 0
## 848 2 18 10
## 849 3 6 4
## 850 3 7 7
## 851 3 2 2
## 852 3 10 0
## 853 3 9 5
## 854 3 8 3
## 855 3 3 2
## 856 3 1 0
## 857 3 5 2
## 858 3 10 9
## 859 3 5 0
## 860 3 10 7
## 861 2 7 0
## 862 4 21 7
## 863 2 5 2
## 864 2 22 2
## 865 4 3 1
## 866 3 10 9
## 867 3 3 2
## 868 2 5 4
## 869 2 3 2
## 870 3 6 2
## YearsSinceLastPromotion YearsWithCurrManager
## 1 0 3
## 2 4 9
## 3 2 2
## 4 5 7
## 5 1 3
## 6 1 7
## 7 0 3
## 8 0 0
## 9 0 0
## 10 7 7
## 11 6 14
## 12 2 2
## 13 1 6
## 14 0 0
## 15 5 7
## 16 0 0
## 17 6 3
## 18 0 0
## 19 1 2
## 20 2 2
## 21 0 2
## 22 2 2
## 23 4 7
## 24 0 3
## 25 1 4
## 26 3 10
## 27 7 7
## 28 0 3
## 29 2 2
## 30 1 2
## 31 0 7
## 32 2 13
## 33 7 7
## 34 1 7
## 35 0 0
## 36 0 3
## 37 6 0
## 38 2 2
## 39 7 7
## 40 2 2
## 41 14 14
## 42 3 1
## 43 2 2
## 44 0 1
## 45 0 1
## 46 5 8
## 47 0 0
## 48 2 7
## 49 0 0
## 50 2 2
## 51 0 0
## 52 1 5
## 53 7 7
## 54 0 8
## 55 1 8
## 56 0 4
## 57 2 2
## 58 1 5
## 59 0 2
## 60 1 0
## 61 3 7
## 62 1 7
## 63 1 2
## 64 0 0
## 65 0 0
## 66 0 5
## 67 11 8
## 68 1 4
## 69 1 2
## 70 5 7
## 71 1 0
## 72 1 3
## 73 0 1
## 74 0 0
## 75 7 7
## 76 3 7
## 77 8 6
## 78 0 12
## 79 12 8
## 80 0 0
## 81 0 0
## 82 0 7
## 83 7 7
## 84 6 7
## 85 5 12
## 86 4 3
## 87 1 7
## 88 0 2
## 89 1 7
## 90 2 1
## 91 0 0
## 92 3 10
## 93 0 0
## 94 0 4
## 95 4 4
## 96 11 6
## 97 5 1
## 98 0 0
## 99 0 2
## 100 0 2
## 101 1 4
## 102 9 9
## 103 1 2
## 104 0 2
## 105 8 8
## 106 0 7
## 107 0 9
## 108 1 4
## 109 3 7
## 110 1 2
## 111 0 2
## 112 7 8
## 113 4 0
## 114 0 0
## 115 1 7
## 116 0 9
## 117 1 1
## 118 0 3
## 119 1 8
## 120 4 11
## 121 0 5
## 122 1 2
## 123 0 2
## 124 0 5
## 125 0 9
## 126 0 9
## 127 6 7
## 128 3 8
## 129 1 8
## 130 2 8
## 131 0 9
## 132 0 4
## 133 0 4
## 134 1 0
## 135 0 0
## 136 3 7
## 137 0 0
## 138 0 8
## 139 2 2
## 140 1 3
## 141 15 9
## 142 2 2
## 143 0 7
## 144 0 1
## 145 11 8
## 146 0 2
## 147 1 6
## 148 2 2
## 149 1 2
## 150 0 0
## 151 1 2
## 152 0 8
## 153 4 8
## 154 1 2
## 155 1 0
## 156 2 2
## 157 5 10
## 158 11 5
## 159 0 1
## 160 0 0
## 161 3 0
## 162 1 9
## 163 1 2
## 164 0 2
## 165 6 9
## 166 0 2
## 167 1 2
## 168 0 5
## 169 6 9
## 170 1 7
## 171 7 7
## 172 1 7
## 173 1 2
## 174 0 8
## 175 15 2
## 176 2 2
## 177 1 4
## 178 1 2
## 179 3 7
## 180 0 7
## 181 6 4
## 182 1 7
## 183 1 2
## 184 2 2
## 185 0 7
## 186 0 4
## 187 0 7
## 188 1 2
## 189 1 6
## 190 0 4
## 191 1 9
## 192 2 2
## 193 0 8
## 194 6 7
## 195 1 1
## 196 0 0
## 197 0 3
## 198 2 3
## 199 5 17
## 200 0 0
## 201 0 0
## 202 0 9
## 203 6 8
## 204 3 7
## 205 1 2
## 206 7 1
## 207 1 3
## 208 0 0
## 209 2 2
## 210 0 7
## 211 0 10
## 212 0 0
## 213 0 0
## 214 0 2
## 215 1 1
## 216 1 2
## 217 0 0
## 218 4 7
## 219 0 4
## 220 2 2
## 221 1 4
## 222 0 0
## 223 1 2
## 224 0 0
## 225 0 3
## 226 1 7
## 227 0 0
## 228 2 2
## 229 0 2
## 230 2 12
## 231 3 9
## 232 2 2
## 233 14 10
## 234 0 5
## 235 4 12
## 236 11 7
## 237 4 14
## 238 0 5
## 239 1 2
## 240 1 11
## 241 5 8
## 242 0 0
## 243 0 4
## 244 2 2
## 245 1 2
## 246 0 3
## 247 4 10
## 248 2 2
## 249 3 3
## 250 11 8
## 251 0 0
## 252 0 7
## 253 0 0
## 254 0 0
## 255 4 8
## 256 1 2
## 257 2 2
## 258 0 2
## 259 1 0
## 260 0 2
## 261 0 0
## 262 0 7
## 263 0 4
## 264 0 2
## 265 1 2
## 266 0 3
## 267 6 9
## 268 0 0
## 269 2 8
## 270 0 2
## 271 5 7
## 272 7 9
## 273 5 8
## 274 0 2
## 275 2 15
## 276 4 2
## 277 1 2
## 278 1 7
## 279 0 3
## 280 1 2
## 281 8 8
## 282 2 17
## 283 0 3
## 284 1 7
## 285 5 0
## 286 5 7
## 287 0 0
## 288 1 2
## 289 2 8
## 290 0 2
## 291 0 2
## 292 0 8
## 293 0 3
## 294 5 12
## 295 7 7
## 296 2 2
## 297 1 9
## 298 0 6
## 299 1 2
## 300 2 2
## 301 5 3
## 302 1 8
## 303 1 2
## 304 0 8
## 305 0 0
## 306 3 4
## 307 0 0
## 308 0 0
## 309 6 7
## 310 1 2
## 311 2 1
## 312 5 13
## 313 7 7
## 314 0 0
## 315 2 2
## 316 0 7
## 317 1 2
## 318 1 2
## 319 1 4
## 320 0 1
## 321 0 2
## 322 8 8
## 323 0 3
## 324 1 7
## 325 11 8
## 326 0 0
## 327 1 10
## 328 1 2
## 329 0 7
## 330 0 9
## 331 0 0
## 332 9 8
## 333 2 3
## 334 0 7
## 335 2 2
## 336 3 8
## 337 0 2
## 338 0 4
## 339 0 0
## 340 0 0
## 341 0 0
## 342 2 2
## 343 1 2
## 344 0 0
## 345 0 3
## 346 11 10
## 347 0 2
## 348 1 4
## 349 0 0
## 350 1 1
## 351 5 7
## 352 7 7
## 353 0 0
## 354 2 2
## 355 13 5
## 356 3 12
## 357 4 3
## 358 1 1
## 359 7 8
## 360 10 11
## 361 11 9
## 362 0 0
## 363 6 9
## 364 3 9
## 365 9 11
## 366 7 7
## 367 5 10
## 368 7 1
## 369 2 2
## 370 0 7
## 371 0 3
## 372 7 8
## 373 9 11
## 374 7 7
## 375 0 2
## 376 13 9
## 377 15 14
## 378 0 0
## 379 1 3
## 380 0 1
## 381 1 1
## 382 5 7
## 383 2 2
## 384 0 0
## 385 2 7
## 386 5 11
## 387 0 8
## 388 1 2
## 389 6 7
## 390 1 2
## 391 1 2
## 392 0 0
## 393 2 3
## 394 13 11
## 395 2 2
## 396 2 2
## 397 0 1
## 398 2 2
## 399 1 9
## 400 2 2
## 401 0 2
## 402 0 2
## 403 2 0
## 404 0 2
## 405 1 1
## 406 0 0
## 407 5 7
## 408 1 7
## 409 3 7
## 410 1 0
## 411 0 3
## 412 8 7
## 413 0 0
## 414 0 0
## 415 1 0
## 416 1 7
## 417 6 7
## 418 0 0
## 419 3 11
## 420 0 7
## 421 1 3
## 422 10 7
## 423 7 7
## 424 0 0
## 425 0 4
## 426 0 0
## 427 0 0
## 428 1 0
## 429 1 2
## 430 5 9
## 431 0 4
## 432 0 0
## 433 1 3
## 434 0 0
## 435 0 0
## 436 0 7
## 437 2 1
## 438 7 6
## 439 0 2
## 440 1 8
## 441 0 7
## 442 1 2
## 443 0 0
## 444 2 2
## 445 2 2
## 446 1 2
## 447 2 9
## 448 0 0
## 449 9 9
## 450 4 5
## 451 8 1
## 452 1 3
## 453 7 7
## 454 0 9
## 455 0 2
## 456 12 8
## 457 0 2
## 458 1 0
## 459 1 0
## 460 1 8
## 461 2 0
## 462 1 3
## 463 2 1
## 464 1 4
## 465 0 0
## 466 1 2
## 467 1 2
## 468 0 0
## 469 2 2
## 470 1 3
## 471 1 2
## 472 1 0
## 473 0 0
## 474 0 3
## 475 2 2
## 476 0 8
## 477 0 0
## 478 0 0
## 479 0 4
## 480 6 8
## 481 0 2
## 482 0 2
## 483 6 11
## 484 2 2
## 485 15 6
## 486 0 5
## 487 0 0
## 488 4 3
## 489 0 0
## 490 4 3
## 491 1 2
## 492 1 2
## 493 1 4
## 494 3 3
## 495 1 7
## 496 4 17
## 497 0 2
## 498 1 2
## 499 7 7
## 500 1 2
## 501 5 9
## 502 0 3
## 503 7 7
## 504 8 8
## 505 5 6
## 506 2 5
## 507 0 0
## 508 3 2
## 509 5 8
## 510 15 8
## 511 1 9
## 512 0 5
## 513 1 3
## 514 8 12
## 515 2 2
## 516 1 2
## 517 0 0
## 518 0 4
## 519 6 7
## 520 1 0
## 521 1 3
## 522 0 0
## 523 0 0
## 524 0 9
## 525 0 0
## 526 6 12
## 527 0 3
## 528 0 1
## 529 0 4
## 530 4 3
## 531 1 9
## 532 0 0
## 533 0 7
## 534 1 2
## 535 0 7
## 536 2 2
## 537 0 0
## 538 1 0
## 539 1 4
## 540 1 5
## 541 8 9
## 542 7 6
## 543 0 1
## 544 0 0
## 545 1 3
## 546 8 7
## 547 1 7
## 548 0 0
## 549 0 1
## 550 0 4
## 551 2 10
## 552 0 4
## 553 0 8
## 554 0 0
## 555 0 2
## 556 1 0
## 557 0 0
## 558 1 3
## 559 7 8
## 560 7 7
## 561 7 2
## 562 2 2
## 563 2 2
## 564 4 8
## 565 0 2
## 566 1 2
## 567 0 4
## 568 6 7
## 569 0 3
## 570 1 5
## 571 1 4
## 572 0 0
## 573 0 7
## 574 4 8
## 575 1 4
## 576 0 7
## 577 0 0
## 578 0 3
## 579 3 8
## 580 1 0
## 581 1 2
## 582 0 0
## 583 1 0
## 584 7 5
## 585 1 3
## 586 3 7
## 587 1 9
## 588 0 3
## 589 0 2
## 590 2 2
## 591 1 3
## 592 10 10
## 593 1 2
## 594 1 4
## 595 14 12
## 596 0 8
## 597 4 8
## 598 0 0
## 599 0 3
## 600 2 0
## 601 0 0
## 602 1 2
## 603 1 7
## 604 0 8
## 605 2 2
## 606 1 3
## 607 1 3
## 608 7 7
## 609 0 7
## 610 2 2
## 611 0 0
## 612 0 7
## 613 1 7
## 614 0 0
## 615 7 7
## 616 4 13
## 617 0 2
## 618 1 3
## 619 1 7
## 620 0 0
## 621 1 0
## 622 2 7
## 623 1 3
## 624 1 7
## 625 0 0
## 626 0 3
## 627 0 3
## 628 2 9
## 629 1 2
## 630 7 7
## 631 0 4
## 632 2 1
## 633 0 0
## 634 0 0
## 635 0 0
## 636 2 2
## 637 13 7
## 638 1 1
## 639 1 4
## 640 0 2
## 641 0 0
## 642 7 7
## 643 6 2
## 644 3 0
## 645 0 0
## 646 2 11
## 647 0 0
## 648 0 2
## 649 2 8
## 650 0 3
## 651 1 2
## 652 1 9
## 653 2 13
## 654 0 0
## 655 1 2
## 656 3 3
## 657 4 7
## 658 1 12
## 659 1 2
## 660 0 3
## 661 4 7
## 662 5 7
## 663 0 3
## 664 1 2
## 665 8 7
## 666 0 2
## 667 4 1
## 668 1 3
## 669 1 1
## 670 0 9
## 671 0 2
## 672 0 4
## 673 1 3
## 674 7 8
## 675 0 2
## 676 0 8
## 677 0 5
## 678 9 4
## 679 0 2
## 680 5 2
## 681 0 3
## 682 1 2
## 683 0 2
## 684 1 4
## 685 0 2
## 686 0 8
## 687 7 7
## 688 1 1
## 689 1 0
## 690 3 8
## 691 1 2
## 692 9 9
## 693 0 0
## 694 0 0
## 695 1 3
## 696 1 2
## 697 2 2
## 698 3 7
## 699 0 0
## 700 0 3
## 701 0 0
## 702 1 3
## 703 4 12
## 704 1 4
## 705 2 2
## 706 1 10
## 707 1 7
## 708 0 2
## 709 0 4
## 710 14 7
## 711 0 8
## 712 0 0
## 713 0 0
## 714 1 12
## 715 0 9
## 716 0 0
## 717 1 4
## 718 1 7
## 719 6 7
## 720 1 7
## 721 7 8
## 722 0 2
## 723 1 3
## 724 7 8
## 725 0 0
## 726 1 2
## 727 0 0
## 728 2 0
## 729 0 0
## 730 2 1
## 731 0 0
## 732 0 0
## 733 0 0
## 734 1 2
## 735 0 0
## 736 0 7
## 737 9 6
## 738 0 5
## 739 1 0
## 740 0 2
## 741 2 2
## 742 0 1
## 743 3 7
## 744 1 2
## 745 0 4
## 746 0 0
## 747 2 0
## 748 4 9
## 749 1 2
## 750 0 2
## 751 0 2
## 752 2 2
## 753 12 13
## 754 0 7
## 755 0 3
## 756 1 4
## 757 0 7
## 758 1 2
## 759 0 0
## 760 1 11
## 761 0 0
## 762 3 0
## 763 11 9
## 764 0 13
## 765 0 2
## 766 1 4
## 767 0 8
## 768 0 1
## 769 1 4
## 770 4 12
## 771 0 1
## 772 15 7
## 773 11 8
## 774 0 0
## 775 13 9
## 776 0 2
## 777 1 3
## 778 0 0
## 779 5 7
## 780 2 2
## 781 0 2
## 782 11 10
## 783 0 3
## 784 0 1
## 785 0 0
## 786 1 0
## 787 2 2
## 788 7 7
## 789 0 0
## 790 2 1
## 791 1 2
## 792 1 2
## 793 0 2
## 794 12 8
## 795 1 7
## 796 9 7
## 797 4 10
## 798 0 0
## 799 0 0
## 800 0 4
## 801 1 3
## 802 0 5
## 803 11 10
## 804 4 7
## 805 1 2
## 806 5 7
## 807 1 2
## 808 2 2
## 809 0 8
## 810 1 1
## 811 6 10
## 812 0 2
## 813 0 3
## 814 1 0
## 815 1 2
## 816 4 10
## 817 0 0
## 818 3 7
## 819 1 2
## 820 2 2
## 821 0 2
## 822 0 2
## 823 1 7
## 824 2 2
## 825 1 1
## 826 2 2
## 827 0 0
## 828 0 2
## 829 0 5
## 830 10 7
## 831 0 8
## 832 0 0
## 833 3 3
## 834 0 0
## 835 15 0
## 836 7 7
## 837 1 3
## 838 5 7
## 839 14 10
## 840 12 9
## 841 0 0
## 842 0 9
## 843 0 0
## 844 1 6
## 845 2 2
## 846 1 8
## 847 0 0
## 848 3 7
## 849 1 0
## 850 7 7
## 851 2 2
## 852 1 8
## 853 0 8
## 854 0 7
## 855 0 2
## 856 0 0
## 857 0 4
## 858 8 9
## 859 1 4
## 860 0 5
## 861 7 7
## 862 15 17
## 863 0 4
## 864 11 13
## 865 1 2
## 866 0 8
## 867 2 2
## 868 1 2
## 869 0 2
## 870 1 2
#File for Classification Predictions
Case2PredictionsSeanMcWhirter_Attrition=read.csv("C:/Users/seans/Desktop/DDS/Unit 14 and 15 Case Study 2/CaseStudy2CompSet No Attrition.csv", header=TRUE, sep=",", stringsAsFactors = TRUE)
saveRDS(Case2PredictionsSeanMcWhirter_Attrition, file ="Case2PredictionsSeanMcWhirter_Attrition.Rds")
readRDS(Case2PredictionsSeanMcWhirter_Attrition, file ="Case2PredictionsSeanMcWhirter_Attrition.Rds")
## ID Age BusinessTravel DailyRate Department
## 1 1171 35 Travel_Rarely 750 Research & Development
## 2 1172 33 Travel_Rarely 147 Human Resources
## 3 1173 26 Travel_Rarely 1330 Research & Development
## 4 1174 55 Travel_Rarely 1311 Research & Development
## 5 1175 29 Travel_Rarely 1246 Sales
## 6 1176 51 Travel_Frequently 1456 Research & Development
## 7 1177 52 Non-Travel 585 Sales
## 8 1178 39 Travel_Rarely 1387 Research & Development
## 9 1179 31 Travel_Rarely 1062 Research & Development
## 10 1180 31 Travel_Frequently 534 Research & Development
## 11 1181 40 Travel_Frequently 1469 Research & Development
## 12 1182 31 Travel_Rarely 1082 Research & Development
## 13 1183 33 Non-Travel 775 Research & Development
## 14 1184 50 Travel_Rarely 691 Research & Development
## 15 1185 33 Travel_Rarely 516 Research & Development
## 16 1186 42 Non-Travel 335 Research & Development
## 17 1187 33 Travel_Rarely 575 Research & Development
## 18 1188 29 Travel_Rarely 694 Research & Development
## 19 1189 55 Travel_Rarely 436 Sales
## 20 1190 49 Travel_Rarely 1184 Sales
## 21 1191 32 Travel_Rarely 267 Research & Development
## 22 1192 50 Travel_Rarely 1126 Research & Development
## 23 1193 54 Travel_Rarely 157 Research & Development
## 24 1194 24 Travel_Frequently 897 Human Resources
## 25 1195 45 Travel_Rarely 1038 Research & Development
## 26 1196 36 Non-Travel 635 Sales
## 27 1197 41 Non-Travel 552 Human Resources
## 28 1198 21 Travel_Rarely 1343 Sales
## 29 1199 36 Travel_Rarely 335 Sales
## 30 1200 30 Travel_Frequently 109 Research & Development
## 31 1201 35 Travel_Frequently 146 Research & Development
## 32 1202 46 Travel_Rarely 717 Research & Development
## 33 1203 39 Travel_Rarely 903 Sales
## 34 1204 35 Travel_Rarely 185 Research & Development
## 35 1205 21 Travel_Rarely 1334 Research & Development
## 36 1206 30 Travel_Rarely 1358 Sales
## 37 1207 42 Travel_Frequently 555 Sales
## 38 1208 45 Travel_Frequently 1297 Research & Development
## 39 1209 39 Travel_Frequently 672 Research & Development
## 40 1210 48 Travel_Rarely 715 Research & Development
## 41 1211 38 Travel_Rarely 364 Research & Development
## 42 1212 21 Travel_Rarely 546 Research & Development
## 43 1213 55 Travel_Rarely 836 Research & Development
## 44 1214 59 Travel_Rarely 1429 Research & Development
## 45 1215 58 Travel_Rarely 1145 Research & Development
## 46 1216 49 Travel_Frequently 1064 Research & Development
## 47 1217 52 Travel_Rarely 1490 Research & Development
## 48 1218 37 Travel_Rarely 589 Sales
## 49 1219 37 Non-Travel 1413 Research & Development
## 50 1220 26 Travel_Frequently 921 Research & Development
## 51 1221 52 Travel_Rarely 621 Sales
## 52 1222 33 Travel_Frequently 1392 Research & Development
## 53 1223 32 Non-Travel 300 Research & Development
## 54 1224 51 Travel_Rarely 1178 Sales
## 55 1225 39 Travel_Rarely 1329 Sales
## 56 1226 39 Travel_Frequently 1218 Research & Development
## 57 1227 33 Travel_Rarely 527 Research & Development
## 58 1228 30 Non-Travel 1400 Research & Development
## 59 1229 30 Travel_Rarely 979 Sales
## 60 1230 44 Travel_Rarely 986 Research & Development
## 61 1231 40 Travel_Rarely 1398 Sales
## 62 1232 31 Travel_Rarely 741 Research & Development
## 63 1233 20 Travel_Rarely 1097 Research & Development
## 64 1234 42 Travel_Frequently 481 Sales
## 65 1235 32 Travel_Rarely 495 Research & Development
## 66 1236 33 Travel_Rarely 118 Sales
## 67 1237 53 Travel_Rarely 102 Research & Development
## 68 1238 33 Travel_Frequently 1111 Sales
## 69 1239 24 Travel_Frequently 535 Sales
## 70 1240 42 Travel_Rarely 603 Research & Development
## 71 1241 35 Travel_Rarely 755 Research & Development
## 72 1242 44 Travel_Rarely 200 Research & Development
## 73 1243 54 Travel_Rarely 376 Research & Development
## 74 1244 37 Travel_Rarely 783 Research & Development
## 75 1245 43 Travel_Frequently 422 Research & Development
## 76 1246 28 Travel_Rarely 640 Research & Development
## 77 1247 57 Travel_Rarely 593 Research & Development
## 78 1248 30 Travel_Frequently 1312 Research & Development
## 79 1249 36 Travel_Frequently 469 Research & Development
## 80 1250 36 Travel_Rarely 1041 Human Resources
## 81 1251 34 Travel_Rarely 285 Research & Development
## 82 1252 34 Travel_Rarely 216 Sales
## 83 1253 41 Travel_Rarely 1411 Research & Development
## 84 1254 34 Travel_Frequently 648 Human Resources
## 85 1255 55 Travel_Rarely 147 Research & Development
## 86 1256 52 Travel_Frequently 322 Research & Development
## 87 1257 34 Travel_Rarely 419 Research & Development
## 88 1258 52 Non-Travel 771 Sales
## 89 1259 49 Travel_Rarely 1261 Research & Development
## 90 1260 26 Travel_Rarely 1146 Sales
## 91 1261 44 Travel_Rarely 921 Research & Development
## 92 1262 39 Non-Travel 792 Research & Development
## 93 1263 27 Travel_Rarely 1054 Research & Development
## 94 1264 50 Travel_Frequently 1115 Research & Development
## 95 1265 40 Travel_Rarely 118 Sales
## 96 1266 39 Travel_Frequently 766 Sales
## 97 1267 60 Travel_Rarely 370 Research & Development
## 98 1268 39 Travel_Rarely 867 Research & Development
## 99 1269 29 Travel_Rarely 992 Research & Development
## 100 1270 31 Travel_Rarely 202 Research & Development
## 101 1271 41 Travel_Rarely 896 Sales
## 102 1272 30 Non-Travel 829 Research & Development
## 103 1273 25 Travel_Rarely 1219 Research & Development
## 104 1274 53 Travel_Rarely 1070 Research & Development
## 105 1275 30 Travel_Frequently 448 Sales
## 106 1276 26 Travel_Rarely 1066 Research & Development
## 107 1277 36 Travel_Frequently 1302 Research & Development
## 108 1278 31 Travel_Rarely 1079 Sales
## 109 1279 37 Travel_Rarely 807 Human Resources
## 110 1280 54 Non-Travel 142 Human Resources
## 111 1281 35 Travel_Frequently 662 Sales
## 112 1282 35 Travel_Rarely 1296 Research & Development
## 113 1283 37 Travel_Rarely 367 Research & Development
## 114 1284 38 Travel_Rarely 1084 Research & Development
## 115 1285 58 Travel_Rarely 605 Sales
## 116 1286 43 Travel_Frequently 775 Sales
## 117 1287 30 Travel_Rarely 1465 Research & Development
## 118 1288 29 Travel_Rarely 121 Sales
## 119 1289 24 Non-Travel 1092 Research & Development
## 120 1290 58 Travel_Rarely 682 Sales
## 121 1291 38 Travel_Rarely 1321 Sales
## 122 1292 52 Travel_Rarely 319 Research & Development
## 123 1293 50 Travel_Rarely 264 Sales
## 124 1294 36 Travel_Frequently 884 Research & Development
## 125 1295 36 Travel_Frequently 607 Sales
## 126 1296 53 Travel_Rarely 868 Sales
## 127 1297 29 Travel_Rarely 1396 Sales
## 128 1298 50 Travel_Rarely 1099 Research & Development
## 129 1299 54 Travel_Rarely 821 Research & Development
## 130 1300 36 Non-Travel 894 Research & Development
## 131 1301 56 Travel_Rarely 310 Research & Development
## 132 1302 44 Travel_Rarely 136 Research & Development
## 133 1303 49 Travel_Rarely 1091 Research & Development
## 134 1304 32 Travel_Rarely 414 Sales
## 135 1305 55 Travel_Rarely 111 Sales
## 136 1306 35 Travel_Rarely 1315 Research & Development
## 137 1307 36 Travel_Rarely 1425 Research & Development
## 138 1308 42 Travel_Rarely 1210 Research & Development
## 139 1309 27 Non-Travel 1277 Research & Development
## 140 1310 46 Non-Travel 849 Sales
## 141 1311 45 Travel_Rarely 194 Research & Development
## 142 1312 42 Travel_Frequently 570 Research & Development
## 143 1313 40 Travel_Rarely 448 Research & Development
## 144 1314 32 Travel_Rarely 120 Research & Development
## 145 1315 45 Travel_Rarely 538 Research & Development
## 146 1316 41 Travel_Frequently 143 Sales
## 147 1317 42 Travel_Rarely 188 Research & Development
## 148 1318 31 Travel_Frequently 667 Sales
## 149 1319 28 Travel_Rarely 1117 Research & Development
## 150 1320 55 Travel_Rarely 685 Sales
## 151 1321 33 Travel_Rarely 832 Research & Development
## 152 1322 53 Travel_Rarely 346 Research & Development
## 153 1323 40 Travel_Frequently 530 Research & Development
## 154 1324 30 Travel_Rarely 1092 Research & Development
## 155 1325 40 Travel_Rarely 804 Research & Development
## 156 1326 31 Travel_Rarely 329 Research & Development
## 157 1327 34 Non-Travel 999 Research & Development
## 158 1328 40 Travel_Rarely 299 Sales
## 159 1329 21 Travel_Rarely 391 Research & Development
## 160 1330 35 Non-Travel 1097 Research & Development
## 161 1331 40 Travel_Rarely 369 Research & Development
## 162 1332 28 Travel_Rarely 1083 Research & Development
## 163 1333 34 Travel_Rarely 699 Research & Development
## 164 1334 29 Travel_Rarely 806 Research & Development
## 165 1335 42 Travel_Rarely 1265 Research & Development
## 166 1336 29 Travel_Rarely 1283 Research & Development
## 167 1337 51 Travel_Frequently 237 Sales
## 168 1338 27 Non-Travel 210 Sales
## 169 1339 50 Travel_Rarely 1207 Research & Development
## 170 1340 35 Travel_Rarely 195 Sales
## 171 1341 25 Travel_Rarely 180 Research & Development
## 172 1342 44 Travel_Rarely 935 Research & Development
## 173 1343 27 Travel_Rarely 975 Research & Development
## 174 1344 38 Travel_Rarely 1380 Research & Development
## 175 1345 27 Travel_Rarely 1469 Research & Development
## 176 1346 49 Travel_Frequently 279 Research & Development
## 177 1347 49 Travel_Rarely 1418 Research & Development
## 178 1348 35 Travel_Rarely 1349 Research & Development
## 179 1349 44 Travel_Rarely 1315 Research & Development
## 180 1350 44 Travel_Rarely 1448 Sales
## 181 1351 26 Travel_Frequently 575 Research & Development
## 182 1352 43 Travel_Rarely 1273 Research & Development
## 183 1353 50 Travel_Rarely 328 Research & Development
## 184 1354 41 Travel_Rarely 930 Sales
## 185 1355 43 Travel_Rarely 982 Research & Development
## 186 1356 53 Travel_Rarely 238 Sales
## 187 1357 45 Travel_Rarely 1005 Research & Development
## 188 1358 20 Travel_Rarely 805 Research & Development
## 189 1359 54 Travel_Frequently 966 Research & Development
## 190 1360 39 Travel_Rarely 524 Research & Development
## 191 1361 30 Travel_Rarely 1334 Sales
## 192 1362 39 Travel_Rarely 170 Research & Development
## 193 1363 35 Travel_Rarely 819 Research & Development
## 194 1364 38 Travel_Frequently 1186 Research & Development
## 195 1365 25 Travel_Rarely 622 Sales
## 196 1366 29 Travel_Rarely 738 Research & Development
## 197 1367 34 Travel_Frequently 988 Human Resources
## 198 1368 31 Non-Travel 979 Research & Development
## 199 1369 51 Travel_Rarely 770 Human Resources
## 200 1370 54 Travel_Rarely 155 Research & Development
## 201 1371 41 Travel_Frequently 840 Research & Development
## 202 1372 28 Travel_Rarely 1181 Research & Development
## 203 1373 39 Travel_Rarely 1431 Research & Development
## 204 1374 36 Travel_Rarely 363 Research & Development
## 205 1375 53 Non-Travel 661 Research & Development
## 206 1376 31 Travel_Rarely 140 Research & Development
## 207 1377 28 Travel_Rarely 304 Sales
## 208 1378 33 Non-Travel 1283 Sales
## 209 1379 38 Travel_Rarely 437 Sales
## 210 1380 50 Travel_Rarely 854 Sales
## 211 1381 26 Travel_Frequently 575 Research & Development
## 212 1382 45 Travel_Rarely 549 Research & Development
## 213 1383 38 Travel_Frequently 240 Research & Development
## 214 1384 32 Travel_Rarely 638 Research & Development
## 215 1385 42 Travel_Rarely 201 Research & Development
## 216 1386 34 Travel_Rarely 1440 Sales
## 217 1387 29 Travel_Rarely 598 Research & Development
## 218 1388 31 Travel_Rarely 330 Research & Development
## 219 1389 23 Travel_Rarely 1309 Research & Development
## 220 1390 36 Non-Travel 217 Research & Development
## 221 1391 30 Travel_Rarely 570 Sales
## 222 1392 29 Travel_Rarely 1090 Sales
## 223 1393 42 Travel_Rarely 532 Research & Development
## 224 1394 51 Travel_Rarely 684 Research & Development
## 225 1395 22 Travel_Rarely 1230 Research & Development
## 226 1396 35 Travel_Rarely 1276 Research & Development
## 227 1397 35 Travel_Frequently 482 Research & Development
## 228 1398 35 Travel_Frequently 1199 Research & Development
## 229 1399 40 Travel_Rarely 1124 Sales
## 230 1400 37 Travel_Rarely 1107 Research & Development
## 231 1401 35 Travel_Rarely 104 Research & Development
## 232 1402 25 Travel_Rarely 141 Sales
## 233 1403 44 Travel_Rarely 1199 Research & Development
## 234 1404 35 Travel_Rarely 144 Research & Development
## 235 1405 31 Travel_Frequently 754 Sales
## 236 1406 35 Travel_Rarely 1258 Research & Development
## 237 1407 33 Travel_Rarely 924 Research & Development
## 238 1408 29 Travel_Rarely 441 Research & Development
## 239 1409 55 Travel_Rarely 452 Research & Development
## 240 1410 55 Travel_Rarely 1117 Sales
## 241 1411 22 Travel_Rarely 581 Research & Development
## 242 1412 32 Non-Travel 953 Research & Development
## 243 1413 50 Travel_Rarely 1464 Research & Development
## 244 1414 36 Travel_Rarely 1174 Sales
## 245 1415 40 Travel_Frequently 1395 Research & Development
## 246 1416 33 Travel_Frequently 827 Research & Development
## 247 1417 31 Travel_Frequently 523 Research & Development
## 248 1418 26 Travel_Rarely 991 Research & Development
## 249 1419 31 Travel_Frequently 1445 Research & Development
## 250 1420 35 Travel_Rarely 735 Research & Development
## 251 1421 33 Travel_Rarely 1017 Research & Development
## 252 1422 41 Non-Travel 247 Research & Development
## 253 1423 41 Travel_Rarely 427 Human Resources
## 254 1424 27 Non-Travel 443 Research & Development
## 255 1425 46 Travel_Rarely 406 Sales
## 256 1426 50 Travel_Rarely 1046 Research & Development
## 257 1427 45 Travel_Frequently 1199 Research & Development
## 258 1428 30 Non-Travel 879 Research & Development
## 259 1429 26 Travel_Rarely 950 Sales
## 260 1430 40 Travel_Rarely 1137 Research & Development
## 261 1431 55 Travel_Rarely 1136 Research & Development
## 262 1432 31 Non-Travel 587 Sales
## 263 1433 33 Non-Travel 722 Sales
## 264 1434 50 Travel_Frequently 878 Sales
## 265 1435 24 Non-Travel 673 Research & Development
## 266 1436 45 Travel_Rarely 950 Research & Development
## 267 1437 53 Travel_Rarely 1395 Research & Development
## 268 1438 31 Travel_Rarely 525 Sales
## 269 1439 39 Non-Travel 592 Research & Development
## 270 1440 35 Travel_Rarely 583 Research & Development
## 271 1441 38 Travel_Rarely 723 Sales
## 272 1442 23 Travel_Rarely 1243 Research & Development
## 273 1443 31 Non-Travel 325 Research & Development
## 274 1444 21 Travel_Rarely 156 Sales
## 275 1445 19 Travel_Rarely 489 Human Resources
## 276 1446 29 Travel_Rarely 592 Research & Development
## 277 1447 26 Travel_Frequently 1283 Sales
## 278 1448 43 Travel_Rarely 574 Research & Development
## 279 1449 32 Travel_Rarely 371 Sales
## 280 1450 22 Travel_Rarely 534 Research & Development
## 281 1451 28 Travel_Rarely 1404 Research & Development
## 282 1452 29 Travel_Frequently 806 Research & Development
## 283 1453 54 Travel_Rarely 1082 Sales
## 284 1454 56 Travel_Frequently 1240 Research & Development
## 285 1455 29 Travel_Frequently 115 Sales
## 286 1456 23 Travel_Rarely 1320 Research & Development
## 287 1457 41 Travel_Rarely 1085 Research & Development
## 288 1458 27 Travel_Rarely 1220 Research & Development
## 289 1459 44 Travel_Frequently 920 Research & Development
## 290 1460 22 Travel_Rarely 604 Research & Development
## 291 1461 44 Travel_Rarely 625 Research & Development
## 292 1462 37 Travel_Rarely 571 Research & Development
## 293 1463 30 Travel_Rarely 241 Research & Development
## 294 1464 49 Travel_Frequently 1023 Sales
## 295 1465 26 Travel_Rarely 474 Research & Development
## 296 1466 36 Travel_Rarely 938 Research & Development
## 297 1467 32 Travel_Rarely 1093 Sales
## 298 1468 26 Travel_Rarely 1357 Research & Development
## 299 1469 45 Travel_Rarely 252 Research & Development
## 300 1470 47 Travel_Rarely 249 Sales
## DistanceFromHome Education EducationField EmployeeCount
## 1 28 3 Life Sciences 1
## 2 2 3 Human Resources 1
## 3 21 3 Medical 1
## 4 2 3 Life Sciences 1
## 5 19 3 Life Sciences 1
## 6 1 4 Medical 1
## 7 29 4 Life Sciences 1
## 8 10 5 Medical 1
## 9 24 3 Medical 1
## 10 20 3 Life Sciences 1
## 11 9 4 Medical 1
## 12 1 4 Medical 1
## 13 4 3 Technical Degree 1
## 14 2 3 Medical 1
## 15 8 5 Life Sciences 1
## 16 23 2 Life Sciences 1
## 17 25 3 Life Sciences 1
## 18 1 3 Life Sciences 1
## 19 2 1 Medical 1
## 20 11 3 Marketing 1
## 21 29 4 Life Sciences 1
## 22 1 2 Medical 1
## 23 10 3 Medical 1
## 24 10 3 Medical 1
## 25 20 3 Medical 1
## 26 10 4 Medical 1
## 27 4 3 Human Resources 1
## 28 22 1 Technical Degree 1
## 29 17 2 Marketing 1
## 30 5 3 Medical 1
## 31 2 4 Medical 1
## 32 13 4 Life Sciences 1
## 33 2 5 Life Sciences 1
## 34 23 4 Medical 1
## 35 10 3 Life Sciences 1
## 36 16 1 Life Sciences 1
## 37 26 3 Marketing 1
## 38 1 4 Medical 1
## 39 7 2 Medical 1
## 40 1 3 Life Sciences 1
## 41 3 5 Technical Degree 1
## 42 5 1 Medical 1
## 43 8 3 Medical 1
## 44 18 4 Medical 1
## 45 9 3 Medical 1
## 46 2 1 Life Sciences 1
## 47 4 2 Life Sciences 1
## 48 9 2 Marketing 1
## 49 5 2 Technical Degree 1
## 50 1 1 Medical 1
## 51 3 4 Marketing 1
## 52 3 4 Life Sciences 1
## 53 1 3 Life Sciences 1
## 54 14 2 Life Sciences 1
## 55 4 4 Life Sciences 1
## 56 1 1 Life Sciences 1
## 57 1 4 Other 1
## 58 3 3 Life Sciences 1
## 59 15 2 Marketing 1
## 60 8 4 Life Sciences 1
## 61 2 4 Life Sciences 1
## 62 2 4 Life Sciences 1
## 63 11 3 Medical 1
## 64 12 3 Life Sciences 1
## 65 10 3 Medical 1
## 66 16 3 Marketing 1
## 67 23 4 Life Sciences 1
## 68 5 1 Life Sciences 1
## 69 24 3 Medical 1
## 70 7 4 Medical 1
## 71 9 4 Life Sciences 1
## 72 29 4 Other 1
## 73 19 4 Medical 1
## 74 7 4 Medical 1
## 75 1 3 Life Sciences 1
## 76 1 3 Technical Degree 1
## 77 1 4 Medical 1
## 78 2 4 Technical Degree 1
## 79 3 3 Technical Degree 1
## 80 13 3 Human Resources 1
## 81 29 3 Medical 1
## 82 1 4 Marketing 1
## 83 19 2 Life Sciences 1
## 84 11 3 Life Sciences 1
## 85 20 2 Technical Degree 1
## 86 28 2 Medical 1
## 87 7 4 Life Sciences 1
## 88 2 4 Life Sciences 1
## 89 7 3 Other 1
## 90 8 3 Technical Degree 1
## 91 2 3 Life Sciences 1
## 92 1 3 Life Sciences 1
## 93 8 3 Medical 1
## 94 1 3 Life Sciences 1
## 95 14 2 Life Sciences 1
## 96 20 3 Life Sciences 1
## 97 1 4 Medical 1
## 98 9 2 Medical 1
## 99 1 3 Technical Degree 1
## 100 8 3 Life Sciences 1
## 101 6 3 Life Sciences 1
## 102 1 1 Life Sciences 1
## 103 4 1 Technical Degree 1
## 104 3 4 Medical 1
## 105 12 4 Life Sciences 1
## 106 2 2 Medical 1
## 107 6 4 Life Sciences 1
## 108 10 2 Medical 1
## 109 6 4 Human Resources 1
## 110 26 3 Human Resources 1
## 111 18 4 Marketing 1
## 112 5 4 Technical Degree 1
## 113 25 2 Medical 1
## 114 29 3 Technical Degree 1
## 115 21 3 Life Sciences 1
## 116 15 3 Life Sciences 1
## 117 1 3 Medical 1
## 118 27 3 Marketing 1
## 119 9 3 Life Sciences 1
## 120 10 4 Medical 1
## 121 1 4 Life Sciences 1
## 122 3 3 Medical 1
## 123 9 3 Marketing 1
## 124 23 2 Medical 1
## 125 7 3 Marketing 1
## 126 8 3 Marketing 1
## 127 10 3 Life Sciences 1
## 128 29 4 Life Sciences 1
## 129 5 2 Medical 1
## 130 1 4 Medical 1
## 131 7 2 Technical Degree 1
## 132 28 3 Life Sciences 1
## 133 1 2 Technical Degree 1
## 134 2 4 Marketing 1
## 135 1 2 Life Sciences 1
## 136 22 3 Life Sciences 1
## 137 14 1 Life Sciences 1
## 138 2 3 Medical 1
## 139 8 5 Life Sciences 1
## 140 26 2 Life Sciences 1
## 141 9 3 Life Sciences 1
## 142 8 3 Life Sciences 1
## 143 16 3 Life Sciences 1
## 144 6 5 Life Sciences 1
## 145 1 4 Technical Degree 1
## 146 4 3 Marketing 1
## 147 29 3 Medical 1
## 148 1 4 Life Sciences 1
## 149 8 2 Life Sciences 1
## 150 26 5 Marketing 1
## 151 5 4 Life Sciences 1
## 152 6 3 Life Sciences 1
## 153 1 4 Life Sciences 1
## 154 10 3 Medical 1
## 155 2 1 Medical 1
## 156 1 2 Life Sciences 1
## 157 26 1 Technical Degree 1
## 158 25 4 Marketing 1
## 159 15 2 Life Sciences 1
## 160 11 2 Medical 1
## 161 8 2 Life Sciences 1
## 162 29 1 Life Sciences 1
## 163 6 1 Medical 1
## 164 7 3 Technical Degree 1
## 165 3 3 Life Sciences 1
## 166 23 3 Life Sciences 1
## 167 9 3 Life Sciences 1
## 168 1 1 Marketing 1
## 169 28 1 Medical 1
## 170 1 3 Medical 1
## 171 2 1 Medical 1
## 172 3 3 Life Sciences 1
## 173 7 3 Medical 1
## 174 9 2 Life Sciences 1
## 175 1 2 Medical 1
## 176 8 1 Life Sciences 1
## 177 1 3 Technical Degree 1
## 178 7 2 Life Sciences 1
## 179 3 4 Other 1
## 180 28 3 Medical 1
## 181 1 2 Life Sciences 1
## 182 2 2 Medical 1
## 183 1 3 Medical 1
## 184 3 3 Life Sciences 1
## 185 12 3 Life Sciences 1
## 186 1 1 Medical 1
## 187 28 2 Technical Degree 1
## 188 3 3 Life Sciences 1
## 189 1 4 Life Sciences 1
## 190 18 2 Life Sciences 1
## 191 4 2 Medical 1
## 192 3 2 Medical 1
## 193 18 5 Life Sciences 1
## 194 3 4 Other 1
## 195 13 1 Medical 1
## 196 9 5 Other 1
## 197 23 3 Human Resources 1
## 198 1 4 Medical 1
## 199 5 3 Life Sciences 1
## 200 9 2 Life Sciences 1
## 201 9 3 Medical 1
## 202 1 3 Life Sciences 1
## 203 1 4 Medical 1
## 204 1 3 Technical Degree 1
## 205 1 4 Medical 1
## 206 12 1 Medical 1
## 207 9 4 Life Sciences 1
## 208 2 3 Marketing 1
## 209 16 3 Life Sciences 1
## 210 1 4 Medical 1
## 211 3 1 Technical Degree 1
## 212 8 4 Other 1
## 213 2 4 Life Sciences 1
## 214 8 2 Medical 1
## 215 1 4 Life Sciences 1
## 216 7 2 Technical Degree 1
## 217 9 3 Life Sciences 1
## 218 22 4 Medical 1
## 219 26 1 Life Sciences 1
## 220 18 4 Life Sciences 1
## 221 5 3 Marketing 1
## 222 10 3 Marketing 1
## 223 4 2 Technical Degree 1
## 224 6 3 Life Sciences 1
## 225 1 2 Life Sciences 1
## 226 16 3 Life Sciences 1
## 227 4 4 Life Sciences 1
## 228 18 4 Life Sciences 1
## 229 1 2 Medical 1
## 230 14 3 Life Sciences 1
## 231 2 3 Life Sciences 1
## 232 3 1 Other 1
## 233 4 2 Life Sciences 1
## 234 22 3 Life Sciences 1
## 235 26 4 Marketing 1
## 236 1 4 Life Sciences 1
## 237 2 3 Medical 1
## 238 8 1 Other 1
## 239 1 3 Medical 1
## 240 18 5 Life Sciences 1
## 241 1 2 Life Sciences 1
## 242 5 4 Technical Degree 1
## 243 2 4 Medical 1
## 244 3 4 Marketing 1
## 245 26 3 Medical 1
## 246 1 4 Other 1
## 247 2 3 Life Sciences 1
## 248 6 3 Life Sciences 1
## 249 1 5 Life Sciences 1
## 250 6 1 Life Sciences 1
## 251 25 3 Medical 1
## 252 7 1 Life Sciences 1
## 253 10 4 Human Resources 1
## 254 3 3 Medical 1
## 255 3 1 Marketing 1
## 256 10 3 Technical Degree 1
## 257 7 4 Life Sciences 1
## 258 9 2 Medical 1
## 259 4 4 Marketing 1
## 260 1 4 Life Sciences 1
## 261 1 4 Medical 1
## 262 2 4 Life Sciences 1
## 263 17 3 Life Sciences 1
## 264 1 4 Life Sciences 1
## 265 11 2 Other 1
## 266 28 3 Technical Degree 1
## 267 24 4 Medical 1
## 268 6 4 Medical 1
## 269 2 3 Life Sciences 1
## 270 25 4 Medical 1
## 271 2 4 Marketing 1
## 272 6 3 Life Sciences 1
## 273 5 3 Medical 1
## 274 12 3 Life Sciences 1
## 275 2 2 Technical Degree 1
## 276 7 3 Life Sciences 1
## 277 1 3 Medical 1
## 278 11 3 Life Sciences 1
## 279 19 3 Life Sciences 1
## 280 15 3 Medical 1
## 281 17 3 Technical Degree 1
## 282 1 4 Life Sciences 1
## 283 2 4 Life Sciences 1
## 284 9 3 Medical 1
## 285 13 3 Technical Degree 1
## 286 8 1 Medical 1
## 287 2 4 Life Sciences 1
## 288 5 3 Life Sciences 1
## 289 24 3 Life Sciences 1
## 290 6 1 Medical 1
## 291 4 3 Medical 1
## 292 10 1 Life Sciences 1
## 293 7 3 Medical 1
## 294 2 3 Medical 1
## 295 3 3 Life Sciences 1
## 296 2 4 Medical 1
## 297 6 4 Medical 1
## 298 25 3 Life Sciences 1
## 299 1 3 Other 1
## 300 2 2 Marketing 1
## EmployeeNumber EnvironmentSatisfaction Gender HourlyRate
## 1 1596 2 Male 46
## 2 1207 2 Male 99
## 3 1107 1 Male 37
## 4 505 3 Female 97
## 5 1497 3 Male 77
## 6 145 1 Female 30
## 7 2019 1 Male 40
## 8 1618 2 Male 76
## 9 1252 3 Female 96
## 10 587 1 Male 66
## 11 964 4 Male 35
## 12 95 3 Male 87
## 13 1771 4 Male 90
## 14 815 3 Male 64
## 15 1515 4 Male 69
## 16 1976 4 Male 37
## 17 1545 4 Male 44
## 18 1264 4 Female 87
## 19 842 3 Male 37
## 20 840 3 Female 43
## 21 2010 3 Female 49
## 22 997 4 Male 66
## 23 1980 3 Female 77
## 24 1746 1 Male 59
## 25 1460 2 Male 95
## 26 592 2 Male 32
## 27 1722 3 Male 60
## 28 669 3 Male 49
## 29 1908 3 Male 33
## 30 1017 2 Female 60
## 31 1704 1 Male 79
## 32 1727 3 Male 34
## 33 985 1 Male 41
## 34 1826 2 Male 91
## 35 1079 3 Female 36
## 36 1479 4 Male 96
## 37 404 3 Female 77
## 38 1922 2 Male 44
## 39 444 3 Male 54
## 40 1263 4 Male 76
## 41 193 4 Female 32
## 42 1623 3 Male 97
## 43 84 4 Female 33
## 44 1283 4 Male 67
## 45 214 2 Female 75
## 46 1941 2 Male 42
## 47 546 4 Female 30
## 48 1787 2 Male 46
## 49 1440 3 Male 84
## 50 1068 1 Female 66
## 51 776 3 Male 31
## 52 5 4 Female 56
## 53 882 4 Male 61
## 54 500 3 Female 87
## 55 182 4 Female 47
## 56 531 2 Male 52
## 57 780 4 Male 63
## 58 562 3 Male 53
## 59 1754 3 Male 94
## 60 874 1 Male 62
## 61 558 3 Female 79
## 62 1721 2 Male 69
## 63 1016 4 Female 98
## 64 1167 3 Male 44
## 65 1516 3 Male 64
## 66 819 1 Female 69
## 67 901 4 Female 72
## 68 1395 2 Male 61
## 69 632 4 Male 38
## 70 1292 2 Female 78
## 71 496 3 Male 97
## 72 1225 4 Male 32
## 73 799 4 Female 95
## 74 1885 4 Male 78
## 75 902 4 Female 33
## 76 1301 4 Male 84
## 77 482 4 Male 88
## 78 1745 4 Female 78
## 79 1257 3 Male 46
## 80 829 3 Male 36
## 81 1377 2 Male 86
## 82 1047 2 Male 75
## 83 334 3 Male 36
## 84 1289 3 Male 56
## 85 389 2 Male 37
## 86 1401 4 Female 59
## 87 28 1 Female 53
## 88 329 1 Male 79
## 89 499 2 Male 31
## 90 796 4 Male 38
## 91 1703 3 Female 96
## 92 1737 4 Male 77
## 93 1751 3 Female 67
## 94 141 1 Female 73
## 95 1598 4 Female 84
## 96 1812 3 Male 83
## 97 1697 3 Male 92
## 98 1936 1 Male 87
## 99 300 3 Male 85
## 100 1433 1 Female 34
## 101 298 4 Female 75
## 102 292 3 Male 88
## 103 1106 4 Male 32
## 104 386 3 Male 45
## 105 648 2 Male 74
## 106 1018 4 Male 32
## 107 1594 1 Male 80
## 108 1912 3 Female 86
## 109 133 3 Male 63
## 110 148 4 Female 30
## 111 1380 4 Female 67
## 112 464 3 Male 62
## 113 1161 3 Female 52
## 114 273 4 Male 54
## 115 1938 4 Female 72
## 116 754 4 Male 47
## 117 1241 4 Male 63
## 118 283 2 Female 35
## 119 812 3 Male 60
## 120 131 4 Male 37
## 121 1995 4 Male 86
## 122 543 4 Male 39
## 123 1591 3 Male 59
## 124 2061 3 Male 41
## 125 1362 1 Female 83
## 126 897 1 Male 73
## 127 749 3 Male 99
## 128 569 2 Male 88
## 129 522 1 Male 86
## 130 1662 4 Female 33
## 131 2032 4 Male 72
## 132 1523 4 Male 32
## 133 431 3 Female 90
## 134 1862 3 Male 82
## 135 106 1 Male 70
## 136 381 2 Female 71
## 137 924 3 Male 68
## 138 1542 3 Male 68
## 139 1094 1 Male 87
## 140 1801 2 Male 98
## 141 206 2 Male 60
## 142 809 2 Male 66
## 143 1641 3 Female 84
## 144 231 3 Male 43
## 145 1553 1 Male 66
## 146 488 1 Male 56
## 147 1148 2 Male 56
## 148 1427 2 Female 50
## 149 395 4 Female 66
## 150 1578 3 Male 60
## 151 338 3 Female 63
## 152 769 4 Male 86
## 153 119 3 Male 78
## 154 1816 1 Female 64
## 155 763 4 Female 86
## 156 530 4 Male 98
## 157 1374 1 Female 92
## 158 1318 4 Male 57
## 159 30 3 Male 96
## 160 70 3 Male 79
## 161 1724 2 Female 92
## 162 1514 3 Male 96
## 163 31 2 Male 83
## 164 1299 2 Female 39
## 165 894 3 Female 95
## 166 495 4 Male 54
## 167 1282 4 Male 83
## 168 449 3 Male 73
## 169 716 4 Male 74
## 170 620 1 Female 80
## 171 854 1 Male 65
## 172 1333 1 Male 89
## 173 764 4 Female 55
## 174 245 3 Female 75
## 175 497 4 Male 82
## 176 2 3 Male 61
## 177 887 3 Female 36
## 178 1601 3 Male 63
## 179 671 4 Male 35
## 180 1039 4 Female 53
## 181 792 1 Female 71
## 182 46 4 Female 72
## 183 249 3 Male 86
## 184 2037 3 Male 57
## 185 520 1 Male 59
## 186 682 4 Female 34
## 187 1719 4 Female 48
## 188 1198 1 Male 87
## 189 1245 4 Female 53
## 190 1322 1 Male 32
## 191 121 3 Female 63
## 192 1627 3 Male 76
## 193 1621 2 Male 48
## 194 1060 3 Male 44
## 195 645 2 Male 40
## 196 455 2 Male 30
## 197 590 2 Female 43
## 198 308 3 Male 90
## 199 1352 3 Male 84
## 200 1969 1 Female 67
## 201 999 1 Male 64
## 202 1799 3 Male 82
## 203 332 3 Female 96
## 204 1237 3 Female 77
## 205 1775 1 Female 60
## 206 246 3 Female 95
## 207 498 2 Male 92
## 208 1756 4 Female 62
## 209 1583 2 Female 90
## 210 323 4 Female 68
## 211 510 3 Male 73
## 212 452 4 Male 75
## 213 803 1 Female 75
## 214 865 3 Female 91
## 215 517 2 Female 95
## 216 1541 2 Male 55
## 217 1558 3 Male 91
## 218 1389 4 Male 98
## 219 465 3 Male 83
## 220 1133 1 Male 78
## 221 456 4 Female 30
## 222 766 4 Male 83
## 223 319 3 Male 58
## 224 162 1 Male 51
## 225 872 4 Male 33
## 226 586 4 Male 72
## 227 1350 3 Male 87
## 228 2049 3 Male 80
## 229 453 2 Male 57
## 230 515 4 Female 95
## 231 1569 1 Female 69
## 232 879 3 Male 98
## 233 1288 3 Male 92
## 234 577 4 Male 46
## 235 1967 1 Male 63
## 236 826 4 Female 40
## 237 39 3 Male 78
## 238 1544 3 Female 39
## 239 374 4 Male 81
## 240 597 1 Female 83
## 241 2007 4 Male 63
## 242 1764 2 Male 65
## 243 1061 2 Male 62
## 244 1425 1 Female 99
## 245 202 2 Female 54
## 246 998 3 Female 84
## 247 1464 2 Male 94
## 248 686 3 Female 71
## 249 1459 3 Female 100
## 250 1291 3 Male 66
## 251 1108 1 Male 55
## 252 1035 2 Female 55
## 253 731 2 Male 73
## 254 850 4 Male 50
## 255 1124 1 Male 52
## 256 491 4 Male 100
## 257 341 1 Male 77
## 258 1298 3 Female 72
## 259 401 4 Male 48
## 260 1892 1 Male 98
## 261 1424 2 Male 81
## 262 1324 4 Female 57
## 263 992 4 Male 38
## 264 2044 2 Male 94
## 265 26 1 Female 96
## 266 1546 4 Male 97
## 267 1689 2 Male 48
## 268 653 1 Male 66
## 269 1458 1 Female 54
## 270 1014 3 Female 57
## 271 1835 2 Female 77
## 272 811 3 Male 63
## 273 2057 2 Male 74
## 274 494 3 Female 90
## 275 566 1 Male 52
## 276 1883 4 Male 59
## 277 956 3 Male 52
## 278 1971 1 Male 30
## 279 1739 4 Male 80
## 280 144 2 Female 59
## 281 1960 3 Male 32
## 282 710 2 Male 76
## 283 1070 3 Female 41
## 284 1071 1 Female 63
## 285 1487 1 Female 51
## 286 1684 4 Male 93
## 287 927 2 Female 57
## 288 434 3 Female 85
## 289 392 4 Male 43
## 290 675 1 Male 69
## 291 852 4 Male 50
## 292 802 4 Female 82
## 293 1609 2 Male 48
## 294 2065 4 Male 63
## 295 1581 1 Female 89
## 296 958 3 Male 79
## 297 125 2 Male 87
## 298 55 1 Male 48
## 299 336 3 Male 70
## 300 903 3 Female 35
## JobInvolvement JobLevel JobRole JobSatisfaction
## 1 4 2 Laboratory Technician 3
## 2 3 1 Human Resources 3
## 3 3 1 Laboratory Technician 3
## 4 3 4 Manager 4
## 5 2 2 Sales Executive 3
## 6 2 3 Healthcare Representative 1
## 7 3 1 Sales Representative 4
## 8 3 2 Manufacturing Director 1
## 9 2 2 Healthcare Representative 1
## 10 3 3 Healthcare Representative 3
## 11 3 1 Research Scientist 2
## 12 3 1 Research Scientist 2
## 13 3 2 Research Scientist 2
## 14 3 4 Research Director 3
## 15 3 2 Healthcare Representative 3
## 16 2 2 Research Scientist 3
## 17 2 2 Manufacturing Director 2
## 18 2 4 Research Director 4
## 19 3 2 Sales Executive 4
## 20 3 3 Sales Executive 4
## 21 2 1 Laboratory Technician 2
## 22 3 4 Research Director 4
## 23 3 2 Manufacturing Director 1
## 24 3 1 Human Resources 4
## 25 1 3 Healthcare Representative 1
## 26 3 3 Sales Executive 4
## 27 1 2 Human Resources 2
## 28 3 1 Sales Representative 3
## 29 2 2 Sales Executive 2
## 30 3 1 Laboratory Technician 2
## 31 2 1 Research Scientist 4
## 32 3 2 Healthcare Representative 2
## 33 4 3 Sales Executive 3
## 34 1 1 Laboratory Technician 3
## 35 2 1 Laboratory Technician 1
## 36 3 2 Sales Executive 3
## 37 3 4 Sales Executive 2
## 38 3 2 Healthcare Representative 3
## 39 2 5 Manager 4
## 40 2 5 Research Director 4
## 41 3 2 Research Scientist 3
## 42 3 1 Research Scientist 4
## 43 3 4 Manager 3
## 44 3 3 Manufacturing Director 4
## 45 2 1 Research Scientist 2
## 46 3 5 Research Director 4
## 47 3 4 Manager 4
## 48 2 2 Sales Executive 2
## 49 4 1 Laboratory Technician 3
## 50 2 1 Research Scientist 3
## 51 2 4 Manager 1
## 52 3 1 Research Scientist 3
## 53 3 1 Laboratory Technician 4
## 54 3 2 Sales Executive 4
## 55 2 2 Sales Executive 3
## 56 3 5 Manager 3
## 57 3 1 Research Scientist 4
## 58 3 1 Laboratory Technician 4
## 59 2 3 Sales Executive 1
## 60 4 1 Laboratory Technician 4
## 61 3 5 Manager 3
## 62 3 1 Laboratory Technician 3
## 63 2 1 Research Scientist 1
## 64 3 4 Sales Executive 1
## 65 3 3 Manager 4
## 66 3 2 Sales Executive 1
## 67 3 4 Research Director 4
## 68 3 2 Sales Executive 4
## 69 3 1 Sales Representative 4
## 70 4 2 Research Scientist 2
## 71 2 2 Healthcare Representative 2
## 72 3 2 Research Scientist 4
## 73 3 2 Manufacturing Director 1
## 74 3 2 Research Scientist 1
## 75 3 2 Healthcare Representative 4
## 76 3 1 Research Scientist 1
## 77 3 2 Healthcare Representative 3
## 78 2 1 Research Scientist 1
## 79 3 1 Research Scientist 2
## 80 3 1 Human Resources 2
## 81 3 2 Laboratory Technician 3
## 82 4 2 Sales Executive 4
## 83 3 2 Research Scientist 1
## 84 2 2 Human Resources 2
## 85 3 2 Laboratory Technician 4
## 86 4 4 Manufacturing Director 3
## 87 3 3 Research Director 2
## 88 2 5 Manager 3
## 89 2 3 Healthcare Representative 3
## 90 2 2 Sales Executive 1
## 91 4 3 Healthcare Representative 4
## 92 3 2 Laboratory Technician 4
## 93 3 1 Research Scientist 4
## 94 3 5 Research Director 2
## 95 3 2 Sales Executive 1
## 96 3 2 Sales Executive 4
## 97 1 3 Healthcare Representative 4
## 98 3 2 Manufacturing Director 1
## 99 3 1 Research Scientist 3
## 100 2 1 Research Scientist 2
## 101 3 3 Manager 4
## 102 2 3 Manufacturing Director 3
## 103 3 1 Laboratory Technician 4
## 104 3 4 Research Director 3
## 105 2 1 Sales Representative 1
## 106 4 2 Manufacturing Director 4
## 107 4 2 Laboratory Technician 1
## 108 3 2 Sales Executive 4
## 109 3 1 Human Resources 1
## 110 4 4 Manager 4
## 111 3 2 Sales Executive 3
## 112 3 3 Manufacturing Director 2
## 113 2 2 Healthcare Representative 4
## 114 3 2 Manufacturing Director 4
## 115 3 4 Manager 4
## 116 2 2 Sales Executive 4
## 117 3 1 Research Scientist 2
## 118 3 3 Sales Executive 4
## 119 2 1 Laboratory Technician 2
## 120 3 4 Sales Executive 3
## 121 3 2 Sales Executive 2
## 122 2 3 Manufacturing Director 3
## 123 3 5 Manager 3
## 124 4 2 Laboratory Technician 4
## 125 4 2 Sales Executive 1
## 126 3 4 Sales Executive 4
## 127 3 1 Sales Representative 3
## 128 2 4 Manager 3
## 129 3 5 Research Director 1
## 130 2 2 Manufacturing Director 3
## 131 3 1 Laboratory Technician 3
## 132 3 4 Research Director 1
## 133 2 4 Healthcare Representative 3
## 134 2 2 Sales Executive 2
## 135 3 3 Sales Executive 4
## 136 4 3 Manager 2
## 137 3 2 Healthcare Representative 4
## 138 2 1 Laboratory Technician 2
## 139 1 1 Laboratory Technician 3
## 140 2 2 Sales Executive 2
## 141 3 2 Laboratory Technician 2
## 142 3 5 Manager 4
## 143 3 3 Manufacturing Director 4
## 144 3 1 Research Scientist 3
## 145 3 3 Healthcare Representative 2
## 146 3 2 Sales Executive 2
## 147 1 2 Laboratory Technician 4
## 148 1 1 Sales Representative 3
## 149 3 1 Research Scientist 4
## 150 2 5 Manager 4
## 151 2 1 Research Scientist 4
## 152 3 2 Laboratory Technician 4
## 153 2 4 Healthcare Representative 2
## 154 3 3 Manufacturing Director 3
## 155 2 1 Research Scientist 4
## 156 2 1 Laboratory Technician 1
## 157 2 1 Research Scientist 3
## 158 2 3 Sales Executive 2
## 159 3 1 Research Scientist 4
## 160 2 3 Healthcare Representative 1
## 161 3 2 Manufacturing Director 1
## 162 1 2 Manufacturing Director 2
## 163 3 1 Research Scientist 1
## 164 3 1 Laboratory Technician 3
## 165 4 2 Laboratory Technician 4
## 166 3 1 Research Scientist 4
## 167 3 5 Manager 2
## 168 3 2 Sales Executive 2
## 169 4 1 Laboratory Technician 3
## 170 3 2 Sales Executive 3
## 171 4 1 Research Scientist 1
## 172 3 1 Laboratory Technician 1
## 173 2 2 Healthcare Representative 1
## 174 3 1 Laboratory Technician 4
## 175 3 1 Laboratory Technician 2
## 176 2 2 Research Scientist 2
## 177 3 1 Research Scientist 1
## 178 2 1 Laboratory Technician 4
## 179 3 5 Manager 4
## 180 4 4 Sales Executive 4
## 181 1 1 Laboratory Technician 4
## 182 4 1 Research Scientist 3
## 183 2 1 Laboratory Technician 3
## 184 2 2 Sales Executive 2
## 185 2 4 Research Director 2
## 186 3 2 Sales Executive 1
## 187 2 4 Research Director 2
## 188 2 1 Laboratory Technician 3
## 189 3 3 Manufacturing Director 3
## 190 3 2 Manufacturing Director 3
## 191 2 2 Sales Executive 2
## 192 2 2 Laboratory Technician 3
## 193 4 2 Research Scientist 1
## 194 3 1 Research Scientist 3
## 195 3 1 Sales Representative 3
## 196 2 1 Laboratory Technician 4
## 197 3 3 Human Resources 1
## 198 1 2 Manufacturing Director 3
## 199 3 4 Manager 2
## 200 3 2 Research Scientist 3
## 201 3 5 Research Director 3
## 202 3 1 Research Scientist 4
## 203 3 1 Laboratory Technician 3
## 204 1 3 Manufacturing Director 1
## 205 2 4 Manufacturing Director 3
## 206 3 1 Research Scientist 4
## 207 3 2 Sales Executive 4
## 208 3 2 Sales Executive 2
## 209 3 2 Sales Executive 2
## 210 3 5 Manager 4
## 211 3 1 Research Scientist 1
## 212 3 2 Research Scientist 4
## 213 4 2 Manufacturing Director 1
## 214 4 2 Research Scientist 3
## 215 3 1 Laboratory Technician 1
## 216 3 1 Sales Representative 3
## 217 4 1 Research Scientist 3
## 218 3 2 Manufacturing Director 3
## 219 3 1 Research Scientist 4
## 220 3 2 Manufacturing Director 4
## 221 2 2 Sales Executive 3
## 222 3 1 Sales Representative 2
## 223 3 5 Manager 4
## 224 3 5 Research Director 3
## 225 2 2 Manufacturing Director 4
## 226 3 3 Healthcare Representative 3
## 227 3 2 Research Scientist 3
## 228 3 2 Healthcare Representative 3
## 229 1 2 Sales Executive 4
## 230 3 1 Laboratory Technician 1
## 231 3 1 Laboratory Technician 1
## 232 3 2 Sales Executive 1
## 233 4 5 Manager 1
## 234 1 1 Laboratory Technician 3
## 235 3 2 Sales Executive 4
## 236 4 1 Research Scientist 3
## 237 3 1 Laboratory Technician 4
## 238 1 2 Healthcare Representative 1
## 239 3 5 Manager 1
## 240 3 4 Manager 2
## 241 3 1 Research Scientist 3
## 242 3 1 Research Scientist 2
## 243 3 5 Research Director 3
## 244 3 2 Sales Executive 2
## 245 3 2 Research Scientist 2
## 246 4 2 Healthcare Representative 2
## 247 3 1 Laboratory Technician 4
## 248 3 1 Laboratory Technician 4
## 249 4 3 Manufacturing Director 2
## 250 3 1 Research Scientist 3
## 251 2 1 Research Scientist 2
## 252 1 5 Research Director 3
## 253 2 5 Manager 4
## 254 3 1 Research Scientist 4
## 255 3 4 Manager 3
## 256 2 3 Healthcare Representative 4
## 257 4 2 Manufacturing Director 3
## 258 3 2 Manufacturing Director 3
## 259 2 2 Sales Executive 4
## 260 3 4 Manager 1
## 261 4 4 Research Director 4
## 262 3 3 Sales Executive 3
## 263 3 4 Manager 3
## 264 3 2 Sales Executive 3
## 265 4 2 Manufacturing Director 3
## 266 3 1 Research Scientist 4
## 267 4 3 Healthcare Representative 4
## 268 4 2 Sales Executive 4
## 269 2 1 Laboratory Technician 1
## 270 3 3 Healthcare Representative 3
## 271 1 2 Sales Representative 4
## 272 4 1 Laboratory Technician 1
## 273 3 2 Manufacturing Director 1
## 274 4 1 Sales Representative 2
## 275 2 1 Human Resources 4
## 276 3 1 Laboratory Technician 1
## 277 2 2 Sales Executive 1
## 278 3 3 Healthcare Representative 3
## 279 1 3 Sales Executive 3
## 280 3 1 Laboratory Technician 4
## 281 2 1 Laboratory Technician 4
## 282 1 1 Research Scientist 4
## 283 2 3 Sales Executive 3
## 284 3 1 Research Scientist 3
## 285 3 2 Sales Executive 2
## 286 2 1 Laboratory Technician 3
## 287 1 1 Laboratory Technician 4
## 288 3 1 Research Scientist 2
## 289 3 1 Laboratory Technician 3
## 290 3 1 Research Scientist 3
## 291 3 2 Healthcare Representative 2
## 292 3 1 Research Scientist 1
## 293 2 1 Research Scientist 2
## 294 2 2 Sales Executive 2
## 295 3 1 Research Scientist 4
## 296 3 1 Laboratory Technician 3
## 297 3 2 Sales Executive 3
## 298 1 1 Laboratory Technician 3
## 299 4 5 Manager 4
## 300 3 2 Sales Executive 4
## MaritalStatus MonthlyIncome MonthlyRate NumCompaniesWorked Over18
## 1 Married 3407 25348 1 Y
## 2 Married 3600 8429 1 Y
## 3 Divorced 2377 19373 1 Y
## 4 Single 16659 23258 2 Y
## 5 Divorced 8620 23757 1 Y
## 6 Single 7484 25796 3 Y
## 7 Divorced 3482 19788 2 Y
## 8 Married 5377 3835 2 Y
## 9 Single 6812 17198 1 Y
## 10 Married 9824 22908 3 Y
## 11 Divorced 3617 25063 8 Y
## 12 Single 2501 18775 1 Y
## 13 Divorced 3055 6194 5 Y
## 14 Married 17639 6881 5 Y
## 15 Single 6388 22049 2 Y
## 16 Single 4332 14811 1 Y
## 17 Single 4320 24152 1 Y
## 18 Divorced 16124 3423 3 Y
## 19 Single 5160 21519 4 Y
## 20 Married 7654 5860 1 Y
## 21 Single 2837 15919 1 Y
## 22 Divorced 17399 6615 9 Y
## 23 Single 4440 25198 6 Y
## 24 Married 2145 2097 0 Y
## 25 Divorced 10851 19863 2 Y
## 26 Single 9980 15318 1 Y
## 27 Married 6430 20794 6 Y
## 28 Single 3447 24444 1 Y
## 29 Married 5507 16822 2 Y
## 30 Single 2422 25725 0 Y
## 31 Single 4930 13970 0 Y
## 32 Single 5562 9697 6 Y
## 33 Single 7880 2560 0 Y
## 34 Married 2705 9696 0 Y
## 35 Single 1416 17258 1 Y
## 36 Married 5301 2939 8 Y
## 37 Married 13525 14864 5 Y
## 38 Single 5399 14511 4 Y
## 39 Married 19272 21141 1 Y
## 40 Single 18265 8733 6 Y
## 41 Single 4317 2302 3 Y
## 42 Single 3117 26009 1 Y
## 43 Divorced 14756 19730 2 Y
## 44 Single 10512 20002 6 Y
## 45 Married 3346 11873 4 Y
## 46 Married 19161 13738 3 Y
## 47 Married 16555 10310 2 Y
## 48 Married 4189 8800 1 Y
## 49 Single 3500 25470 0 Y
## 50 Divorced 2007 25265 1 Y
## 51 Married 16856 10084 1 Y
## 52 Married 2909 23159 1 Y
## 53 Divorced 2314 9148 0 Y
## 54 Married 4936 14862 4 Y
## 55 Married 5902 14590 4 Y
## 56 Divorced 19197 8213 1 Y
## 57 Single 2686 5207 1 Y
## 58 Married 2097 16734 4 Y
## 59 Divorced 7140 3088 2 Y
## 60 Married 2818 5044 2 Y
## 61 Married 18041 13022 0 Y
## 62 Married 3477 18103 1 Y
## 63 Single 2600 18275 1 Y
## 64 Single 13758 2447 0 Y
## 65 Single 11244 21072 2 Y
## 66 Single 5324 26507 5 Y
## 67 Single 14275 20206 6 Y
## 68 Married 9998 19293 6 Y
## 69 Married 2400 5530 0 Y
## 70 Married 2372 5628 6 Y
## 71 Single 6540 19394 9 Y
## 72 Single 4541 7744 1 Y
## 73 Divorced 5485 22670 9 Y
## 74 Married 4284 13588 5 Y
## 75 Married 5562 21782 4 Y
## 76 Single 2080 4732 2 Y
## 77 Married 6755 2967 2 Y
## 78 Single 4968 26427 0 Y
## 79 Married 3692 9256 1 Y
## 80 Married 2143 25527 4 Y
## 81 Married 5429 17491 4 Y
## 82 Divorced 9725 12278 0 Y
## 83 Divorced 3072 19877 2 Y
## 84 Married 4490 21833 4 Y
## 85 Married 5415 15972 3 Y
## 86 Married 13247 9731 2 Y
## 87 Single 11994 21293 0 Y
## 88 Single 19068 21030 1 Y
## 89 Single 10965 12066 8 Y
## 90 Single 5326 3064 6 Y
## 91 Married 7879 14810 1 Y
## 92 Married 6472 8989 1 Y
## 93 Single 3445 6152 1 Y
## 94 Married 18172 9755 3 Y
## 95 Married 4639 11262 1 Y
## 96 Divorced 4127 19188 2 Y
## 97 Divorced 10883 20467 3 Y
## 98 Married 5151 12315 1 Y
## 99 Single 2058 19757 0 Y
## 100 Single 1261 22262 1 Y
## 101 Single 13591 14674 3 Y
## 102 Single 8474 20925 1 Y
## 103 Married 3691 4605 1 Y
## 104 Married 17584 21016 3 Y
## 105 Married 2033 14470 1 Y
## 106 Married 5472 3334 1 Y
## 107 Married 5562 19711 3 Y
## 108 Divorced 6583 20115 2 Y
## 109 Divorced 2073 23648 4 Y
## 110 Single 17328 13871 2 Y
## 111 Married 4614 23288 0 Y
## 112 Single 8095 18264 0 Y
## 113 Divorced 5731 17171 7 Y
## 114 Married 6261 4185 3 Y
## 115 Married 17875 11761 4 Y
## 116 Married 6804 23683 3 Y
## 117 Married 3579 9369 0 Y
## 118 Married 7639 24525 1 Y
## 119 Divorced 2694 26551 1 Y
## 120 Single 13872 24409 0 Y
## 121 Married 4440 7636 0 Y
## 122 Married 7969 19609 2 Y
## 123 Married 19331 19519 4 Y
## 124 Married 2571 12290 4 Y
## 125 Married 4639 2261 2 Y
## 126 Married 11836 22789 5 Y
## 127 Single 2642 2755 1 Y
## 128 Married 17046 9314 0 Y
## 129 Married 19406 8509 4 Y
## 130 Married 4374 15411 0 Y
## 131 Married 2339 3666 8 Y
## 132 Married 16328 22074 3 Y
## 133 Single 13964 17810 7 Y
## 134 Single 9907 26186 7 Y
## 135 Married 10239 18092 3 Y
## 136 Divorced 11996 19100 7 Y
## 137 Married 6586 4821 0 Y
## 138 Married 4841 24052 4 Y
## 139 Married 4621 5869 1 Y
## 140 Single 7991 25166 8 Y
## 141 Divorced 2348 10901 8 Y
## 142 Divorced 18430 16225 1 Y
## 143 Single 7945 19948 6 Y
## 144 Single 3038 12430 3 Y
## 145 Divorced 7441 20933 1 Y
## 146 Single 9355 9558 1 Y
## 147 Single 4272 9558 4 Y
## 148 Single 1359 16154 1 Y
## 149 Single 3310 4488 1 Y
## 150 Married 19586 23037 1 Y
## 151 Married 2911 14776 1 Y
## 152 Single 2450 10919 2 Y
## 153 Married 13503 14115 1 Y
## 154 Single 9667 2739 9 Y
## 155 Single 2342 22929 0 Y
## 156 Married 2218 16193 1 Y
## 157 Divorced 2029 15891 1 Y
## 158 Single 9094 17235 2 Y
## 159 Single 1232 19281 1 Y
## 160 Married 9884 8302 2 Y
## 161 Married 6516 5041 2 Y
## 162 Married 6549 3173 1 Y
## 163 Single 2960 17102 2 Y
## 164 Divorced 3339 17285 3 Y
## 165 Married 5231 23726 2 Y
## 166 Single 2201 18168 9 Y
## 167 Divorced 19847 19196 4 Y
## 168 Married 6349 22107 0 Y
## 169 Married 3221 3297 1 Y
## 170 Single 4859 6698 1 Y
## 171 Single 3424 21632 7 Y
## 172 Married 2362 14669 4 Y
## 173 Single 6811 23398 8 Y
## 174 Single 2288 6319 1 Y
## 175 Divorced 3816 17881 1 Y
## 176 Married 5130 24907 1 Y
## 177 Married 3580 10554 2 Y
## 178 Married 2690 7713 1 Y
## 179 Married 19513 9358 4 Y
## 180 Married 13320 11737 3 Y
## 181 Divorced 4364 5288 3 Y
## 182 Divorced 2645 21923 1 Y
## 183 Married 3690 3425 2 Y
## 184 Divorced 8938 12227 2 Y
## 185 Divorced 14336 4345 1 Y
## 186 Single 8381 7507 7 Y
## 187 Single 16704 17119 1 Y
## 188 Single 3033 12828 1 Y
## 189 Divorced 10502 9659 7 Y
## 190 Single 4534 13352 0 Y
## 191 Divorced 5209 19760 1 Y
## 192 Divorced 3069 10302 0 Y
## 193 Married 5208 26312 1 Y
## 194 Married 2821 2997 3 Y
## 195 Married 2096 26376 1 Y
## 196 Single 3983 7621 0 Y
## 197 Divorced 9950 11533 9 Y
## 198 Married 4345 4381 0 Y
## 199 Divorced 14026 17588 1 Y
## 200 Married 2897 22474 3 Y
## 201 Divorced 19419 3735 2 Y
## 202 Married 2044 5531 1 Y
## 203 Divorced 2232 15417 7 Y
## 204 Divorced 10252 4235 2 Y
## 205 Married 12965 22308 4 Y
## 206 Married 3929 6984 8 Y
## 207 Single 5253 20750 1 Y
## 208 Single 5147 10697 8 Y
## 209 Single 4198 16379 2 Y
## 210 Divorced 19517 24118 3 Y
## 211 Single 3102 6582 0 Y
## 212 Married 3697 9278 9 Y
## 213 Single 5980 26085 6 Y
## 214 Married 5175 22162 5 Y
## 215 Divorced 2576 20490 3 Y
## 216 Married 2308 4944 0 Y
## 217 Married 2451 22376 6 Y
## 218 Married 6179 21057 1 Y
## 219 Divorced 2904 16092 1 Y
## 220 Single 7779 23238 2 Y
## 221 Divorced 6118 5431 1 Y
## 222 Divorced 2297 17967 1 Y
## 223 Married 19232 4933 1 Y
## 224 Single 19537 6462 7 Y
## 225 Married 4775 19146 6 Y
## 226 Married 7632 14295 4 Y
## 227 Single 4249 2690 1 Y
## 228 Married 5689 24594 1 Y
## 229 Married 7457 13273 2 Y
## 230 Divorced 3034 26914 1 Y
## 231 Divorced 2074 26619 1 Y
## 232 Married 4194 14363 1 Y
## 233 Divorced 19190 17477 1 Y
## 234 Single 4230 19225 0 Y
## 235 Married 5617 21075 1 Y
## 236 Single 2506 13301 3 Y
## 237 Single 2496 6670 4 Y
## 238 Married 9715 7288 3 Y
## 239 Single 19045 18938 0 Y
## 240 Single 16835 9873 3 Y
## 241 Single 3375 17624 0 Y
## 242 Single 2718 17674 2 Y
## 243 Married 19237 12853 2 Y
## 244 Single 9278 20763 3 Y
## 245 Divorced 5605 8504 1 Y
## 246 Married 5488 20161 1 Y
## 247 Married 3722 21081 6 Y
## 248 Married 2659 17759 1 Y
## 249 Single 7446 8931 1 Y
## 250 Married 3506 6020 0 Y
## 251 Single 2313 2993 4 Y
## 252 Divorced 19973 20284 1 Y
## 253 Divorced 19141 8861 3 Y
## 254 Married 1706 16571 1 Y
## 255 Married 17465 15596 3 Y
## 256 Single 10496 2755 6 Y
## 257 Married 6434 5118 4 Y
## 258 Single 4695 12858 7 Y
## 259 Single 5828 8450 1 Y
## 260 Divorced 16823 18991 2 Y
## 261 Divorced 14732 12414 2 Y
## 262 Divorced 9852 8935 1 Y
## 263 Single 17444 20489 1 Y
## 264 Divorced 6728 14255 7 Y
## 265 Divorced 4011 8232 0 Y
## 266 Married 2132 4585 4 Y
## 267 Married 7005 3458 3 Y
## 268 Divorced 5460 6219 4 Y
## 269 Single 3646 17181 2 Y
## 270 Divorced 10388 6975 1 Y
## 271 Married 5405 4244 2 Y
## 272 Married 1601 3445 1 Y
## 273 Single 9936 3787 0 Y
## 274 Single 2716 25422 1 Y
## 275 Single 2564 18437 1 Y
## 276 Single 2062 19384 3 Y
## 277 Single 4294 11148 1 Y
## 278 Married 7510 16873 1 Y
## 279 Married 9610 3840 3 Y
## 280 Single 2871 23785 1 Y
## 281 Divorced 2367 18779 5 Y
## 282 Divorced 2720 18959 1 Y
## 283 Married 10686 8392 6 Y
## 284 Married 2942 12154 2 Y
## 285 Single 5765 17485 5 Y
## 286 Single 3989 20586 1 Y
## 287 Divorced 2778 17725 4 Y
## 288 Single 2478 20938 1 Y
## 289 Divorced 3161 19920 3 Y
## 290 Married 2773 12145 0 Y
## 291 Single 5933 5197 9 Y
## 292 Divorced 2782 19905 0 Y
## 293 Married 2141 5348 1 Y
## 294 Married 5390 13243 2 Y
## 295 Married 2061 11133 1 Y
## 296 Single 2519 12287 4 Y
## 297 Single 5010 24301 1 Y
## 298 Single 2293 10558 1 Y
## 299 Married 19202 15970 0 Y
## 300 Married 4537 17783 0 Y
## OverTime PercentSalaryHike PerformanceRating RelationshipSatisfaction
## 1 No 17 3 4
## 2 No 13 3 4
## 3 No 20 4 3
## 4 Yes 13 3 3
## 5 No 14 3 3
## 6 No 20 4 3
## 7 No 15 3 2
## 8 No 13 3 4
## 9 No 19 3 2
## 10 No 12 3 1
## 11 Yes 14 3 4
## 12 No 17 3 2
## 13 No 15 3 4
## 14 No 16 3 4
## 15 Yes 17 3 1
## 16 No 12 3 4
## 17 No 13 3 4
## 18 No 14 3 2
## 19 No 16 3 3
## 20 No 18 3 1
## 21 No 13 3 3
## 22 No 22 4 3
## 23 Yes 19 3 4
## 24 No 14 3 4
## 25 Yes 18 3 2
## 26 No 14 3 4
## 27 No 19 3 2
## 28 No 11 3 3
## 29 No 16 3 3
## 30 No 17 3 1
## 31 Yes 14 3 3
## 32 No 14 3 4
## 33 No 18 3 4
## 34 No 16 3 2
## 35 No 13 3 1
## 36 No 15 3 3
## 37 No 14 3 4
## 38 No 12 3 3
## 39 No 15 3 1
## 40 No 12 3 3
## 41 Yes 20 4 2
## 42 No 18 3 3
## 43 Yes 14 3 3
## 44 No 12 3 4
## 45 Yes 20 4 2
## 46 No 15 3 4
## 47 No 13 3 4
## 48 No 14 3 1
## 49 No 14 3 1
## 50 No 13 3 3
## 51 No 11 3 1
## 52 Yes 11 3 3
## 53 No 12 3 2
## 54 No 11 3 3
## 55 No 14 3 3
## 56 Yes 14 3 3
## 57 Yes 13 3 3
## 58 No 15 3 3
## 59 No 11 3 1
## 60 Yes 24 4 3
## 61 No 14 3 4
## 62 No 14 3 4
## 63 Yes 15 3 1
## 64 Yes 12 3 2
## 65 No 25 4 2
## 66 No 15 3 3
## 67 No 18 3 3
## 68 No 13 3 1
## 69 No 13 3 3
## 70 Yes 16 3 4
## 71 No 19 3 3
## 72 No 25 4 2
## 73 Yes 11 3 2
## 74 Yes 22 4 3
## 75 No 13 3 2
## 76 No 11 3 2
## 77 No 11 3 3
## 78 No 16 3 4
## 79 No 12 3 3
## 80 No 13 3 2
## 81 No 13 3 1
## 82 No 11 3 4
## 83 No 16 3 1
## 84 No 11 3 4
## 85 Yes 19 3 4
## 86 Yes 11 3 2
## 87 No 11 3 3
## 88 Yes 18 3 4
## 89 No 24 4 3
## 90 No 17 3 3
## 91 Yes 19 3 2
## 92 Yes 15 3 4
## 93 No 11 3 3
## 94 Yes 19 3 1
## 95 No 15 3 3
## 96 No 18 3 4
## 97 No 20 4 3
## 98 No 25 4 4
## 99 No 14 3 4
## 100 No 12 3 3
## 101 Yes 18 3 3
## 102 No 22 4 3
## 103 Yes 15 3 2
## 104 Yes 16 3 4
## 105 No 18 3 3
## 106 No 12 3 2
## 107 Yes 13 3 4
## 108 Yes 11 3 4
## 109 Yes 22 4 4
## 110 Yes 12 3 3
## 111 Yes 18 3 3
## 112 No 13 3 4
## 113 No 13 3 3
## 114 No 18 3 1
## 115 Yes 13 3 3
## 116 No 18 3 3
## 117 Yes 21 4 1
## 118 No 22 4 4
## 119 No 11 3 3
## 120 No 13 3 3
## 121 No 15 3 1
## 122 Yes 14 3 3
## 123 Yes 16 3 3
## 124 No 17 3 3
## 125 No 16 3 4
## 126 No 14 3 3
## 127 No 11 3 3
## 128 No 15 3 2
## 129 No 11 3 3
## 130 No 15 3 3
## 131 No 11 3 4
## 132 No 13 3 3
## 133 Yes 12 3 4
## 134 Yes 12 3 3
## 135 No 14 3 4
## 136 No 18 3 2
## 137 Yes 17 3 1
## 138 No 14 3 2
## 139 No 19 3 4
## 140 No 15 3 3
## 141 No 18 3 3
## 142 No 13 3 2
## 143 Yes 15 3 4
## 144 No 20 4 1
## 145 No 12 3 1
## 146 No 18 3 3
## 147 No 19 3 1
## 148 No 12 3 2
## 149 No 21 4 4
## 150 No 21 4 3
## 151 No 13 3 3
## 152 No 17 3 4
## 153 No 22 4 4
## 154 No 14 3 2
## 155 Yes 20 4 4
## 156 No 12 3 3
## 157 No 20 4 3
## 158 Yes 12 3 3
## 159 No 14 3 4
## 160 Yes 13 3 3
## 161 Yes 16 3 2
## 162 No 14 3 2
## 163 No 11 3 3
## 164 Yes 13 3 1
## 165 Yes 13 3 2
## 166 No 16 3 4
## 167 Yes 24 4 1
## 168 Yes 13 3 4
## 169 Yes 11 3 3
## 170 No 16 3 4
## 171 No 13 3 3
## 172 No 12 3 3
## 173 No 19 3 1
## 174 No 12 3 3
## 175 No 11 3 2
## 176 No 23 4 4
## 177 No 16 3 2
## 178 No 18 3 4
## 179 Yes 12 3 1
## 180 Yes 18 3 3
## 181 No 14 3 1
## 182 No 12 3 4
## 183 No 15 3 4
## 184 No 11 3 3
## 185 No 11 3 3
## 186 No 20 4 4
## 187 No 11 3 3
## 188 No 12 3 1
## 189 No 17 3 1
## 190 No 11 3 1
## 191 Yes 12 3 2
## 192 No 15 3 4
## 193 No 11 3 4
## 194 No 16 3 1
## 195 No 11 3 3
## 196 No 17 3 3
## 197 Yes 15 3 3
## 198 No 12 3 4
## 199 Yes 11 3 2
## 200 No 11 3 3
## 201 No 17 3 2
## 202 No 11 3 3
## 203 No 14 3 3
## 204 Yes 21 4 3
## 205 Yes 20 4 4
## 206 Yes 23 4 3
## 207 No 16 3 4
## 208 No 15 3 4
## 209 No 12 3 2
## 210 No 11 3 3
## 211 No 22 4 3
## 212 No 14 3 1
## 213 Yes 12 3 4
## 214 No 12 3 3
## 215 No 16 3 2
## 216 Yes 25 4 2
## 217 No 18 3 1
## 218 Yes 15 3 4
## 219 No 12 3 3
## 220 No 20 4 1
## 221 No 13 3 3
## 222 No 14 3 4
## 223 No 11 3 4
## 224 No 13 3 3
## 225 No 22 4 1
## 226 Yes 12 3 3
## 227 Yes 11 3 2
## 228 Yes 14 3 4
## 229 Yes 22 4 3
## 230 No 12 3 3
## 231 Yes 12 3 4
## 232 Yes 18 3 4
## 233 No 14 3 4
## 234 No 15 3 3
## 235 Yes 11 3 3
## 236 No 13 3 3
## 237 No 11 3 4
## 238 No 13 3 3
## 239 Yes 14 3 3
## 240 No 23 4 4
## 241 No 12 3 4
## 242 No 14 3 2
## 243 Yes 11 3 4
## 244 Yes 16 3 4
## 245 No 11 3 1
## 246 Yes 13 3 1
## 247 Yes 13 3 3
## 248 Yes 13 3 3
## 249 No 11 3 1
## 250 Yes 14 3 4
## 251 Yes 20 4 2
## 252 No 22 4 2
## 253 No 15 3 2
## 254 No 11 3 3
## 255 No 12 3 4
## 256 No 15 3 4
## 257 No 17 3 4
## 258 Yes 18 3 3
## 259 Yes 12 3 2
## 260 No 11 3 1
## 261 No 13 3 4
## 262 Yes 19 3 1
## 263 No 11 3 4
## 264 No 12 3 4
## 265 No 18 3 4
## 266 No 20 4 4
## 267 No 15 3 3
## 268 No 22 4 4
## 269 Yes 23 4 2
## 270 Yes 11 3 3
## 271 Yes 20 4 1
## 272 Yes 21 4 3
## 273 No 19 3 2
## 274 No 15 3 4
## 275 No 12 3 3
## 276 No 14 3 2
## 277 No 12 3 2
## 278 No 17 3 2
## 279 No 13 3 3
## 280 No 15 3 3
## 281 No 12 3 1
## 282 No 18 3 4
## 283 No 11 3 2
## 284 No 19 3 2
## 285 No 11 3 1
## 286 Yes 11 3 1
## 287 Yes 13 3 3
## 288 Yes 12 3 2
## 289 Yes 22 4 4
## 290 No 20 4 4
## 291 No 12 3 4
## 292 Yes 13 3 2
## 293 No 12 3 2
## 294 No 14 3 4
## 295 No 21 4 1
## 296 No 21 4 3
## 297 No 16 3 1
## 298 No 12 3 3
## 299 No 11 3 3
## 300 Yes 22 4 1
## StandardHours StockOptionLevel TotalWorkingYears TrainingTimesLastYear
## 1 80 2 10 3
## 2 80 1 5 2
## 3 80 1 1 0
## 4 80 0 30 2
## 5 80 2 10 3
## 6 80 0 23 1
## 7 80 2 16 3
## 8 80 3 10 3
## 9 80 0 10 2
## 10 80 0 12 2
## 11 80 1 3 2
## 12 80 0 1 4
## 13 80 2 11 2
## 14 80 0 30 3
## 15 80 0 14 6
## 16 80 0 20 2
## 17 80 0 5 2
## 18 80 2 9 2
## 19 80 0 12 3
## 20 80 2 9 3
## 21 80 0 6 3
## 22 80 1 32 1
## 23 80 0 9 3
## 24 80 1 3 2
## 25 80 1 24 2
## 26 80 0 10 3
## 27 80 1 10 4
## 28 80 0 3 2
## 29 80 2 12 1
## 30 80 0 4 3
## 31 80 0 6 2
## 32 80 0 19 3
## 33 80 0 9 3
## 34 80 1 6 2
## 35 80 0 1 6
## 36 80 2 4 2
## 37 80 1 23 2
## 38 80 0 12 3
## 39 80 1 21 2
## 40 80 0 25 3
## 41 80 0 19 2
## 42 80 0 3 2
## 43 80 3 21 2
## 44 80 0 25 6
## 45 80 1 9 3
## 46 80 0 28 3
## 47 80 0 31 2
## 48 80 2 5 2
## 49 80 0 7 2
## 50 80 2 5 5
## 51 80 0 34 3
## 52 80 0 8 3
## 53 80 1 4 2
## 54 80 1 18 2
## 55 80 1 17 1
## 56 80 1 21 3
## 57 80 0 10 2
## 58 80 1 9 3
## 59 80 1 12 2
## 60 80 1 10 2
## 61 80 0 21 2
## 62 80 1 6 2
## 63 80 0 1 2
## 64 80 0 22 2
## 65 80 0 10 5
## 66 80 0 6 3
## 67 80 0 33 0
## 68 80 0 8 2
## 69 80 2 3 3
## 70 80 0 18 2
## 71 80 0 10 5
## 72 80 0 20 3
## 73 80 2 9 4
## 74 80 1 16 2
## 75 80 1 12 2
## 76 80 0 5 2
## 77 80 0 15 2
## 78 80 0 10 2
## 79 80 0 12 2
## 80 80 1 8 2
## 81 80 2 10 1
## 82 80 1 16 2
## 83 80 2 17 2
## 84 80 2 14 5
## 85 80 1 12 4
## 86 80 1 24 3
## 87 80 0 13 4
## 88 80 0 33 2
## 89 80 0 26 2
## 90 80 0 6 2
## 91 80 1 9 2
## 92 80 1 9 2
## 93 80 0 6 5
## 94 80 0 28 1
## 95 80 1 5 2
## 96 80 1 7 6
## 97 80 1 19 2
## 98 80 1 10 3
## 99 80 0 7 1
## 100 80 0 1 3
## 101 80 0 16 3
## 102 80 0 12 2
## 103 80 1 7 3
## 104 80 3 21 5
## 105 80 1 1 2
## 106 80 0 8 2
## 107 80 1 9 3
## 108 80 1 8 2
## 109 80 0 7 3
## 110 80 0 23 3
## 111 80 1 5 0
## 112 80 0 17 5
## 113 80 2 9 2
## 114 80 1 9 3
## 115 80 1 29 2
## 116 80 1 7 5
## 117 80 1 12 2
## 118 80 3 10 3
## 119 80 3 1 4
## 120 80 0 38 1
## 121 80 2 16 3
## 122 80 0 28 4
## 123 80 1 27 2
## 124 80 1 17 3
## 125 80 1 17 2
## 126 80 1 28 3
## 127 80 0 1 6
## 128 80 1 28 2
## 129 80 1 24 4
## 130 80 0 4 6
## 131 80 1 14 4
## 132 80 1 24 1
## 133 80 0 25 2
## 134 80 0 7 3
## 135 80 1 24 4
## 136 80 1 10 6
## 137 80 1 17 2
## 138 80 1 4 3
## 139 80 3 3 4
## 140 80 0 6 3
## 141 80 1 20 2
## 142 80 1 24 4
## 143 80 0 18 2
## 144 80 0 8 2
## 145 80 3 10 4
## 146 80 0 8 5
## 147 80 0 16 3
## 148 80 0 1 3
## 149 80 0 5 3
## 150 80 1 36 3
## 151 80 1 2 2
## 152 80 0 19 4
## 153 80 1 22 3
## 154 80 0 9 3
## 155 80 0 5 2
## 156 80 1 4 3
## 157 80 3 5 2
## 158 80 0 9 2
## 159 80 0 0 6
## 160 80 1 10 3
## 161 80 1 18 3
## 162 80 2 8 2
## 163 80 0 8 2
## 164 80 2 10 2
## 165 80 1 17 1
## 166 80 0 6 4
## 167 80 1 31 5
## 168 80 1 6 0
## 169 80 3 20 3
## 170 80 0 5 3
## 171 80 0 6 3
## 172 80 0 10 4
## 173 80 0 9 2
## 174 80 0 2 3
## 175 80 1 5 2
## 176 80 1 10 3
## 177 80 1 7 2
## 178 80 1 1 5
## 179 80 1 26 2
## 180 80 1 23 2
## 181 80 1 5 2
## 182 80 2 6 3
## 183 80 1 5 2
## 184 80 1 14 5
## 185 80 1 25 3
## 186 80 0 18 2
## 187 80 0 21 2
## 188 80 0 2 2
## 189 80 1 33 2
## 190 80 0 9 6
## 191 80 3 11 4
## 192 80 1 11 3
## 193 80 0 16 2
## 194 80 1 8 2
## 195 80 0 7 1
## 196 80 0 4 2
## 197 80 3 11 2
## 198 80 1 6 2
## 199 80 1 33 2
## 200 80 2 9 6
## 201 80 1 21 2
## 202 80 1 5 6
## 203 80 3 7 1
## 204 80 1 17 2
## 205 80 3 27 2
## 206 80 1 7 0
## 207 80 0 7 1
## 208 80 0 13 2
## 209 80 0 8 5
## 210 80 1 32 3
## 211 80 0 7 2
## 212 80 2 12 3
## 213 80 0 17 2
## 214 80 1 9 3
## 215 80 1 8 5
## 216 80 1 12 4
## 217 80 2 5 2
## 218 80 2 10 3
## 219 80 2 4 2
## 220 80 0 18 0
## 221 80 3 10 2
## 222 80 2 2 2
## 223 80 0 22 3
## 224 80 0 23 5
## 225 80 2 4 2
## 226 80 0 10 2
## 227 80 0 9 3
## 228 80 2 10 2
## 229 80 3 6 2
## 230 80 1 18 2
## 231 80 1 1 2
## 232 80 0 5 3
## 233 80 2 26 4
## 234 80 0 6 2
## 235 80 0 10 4
## 236 80 0 7 0
## 237 80 0 7 3
## 238 80 1 9 3
## 239 80 0 37 2
## 240 80 0 37 2
## 241 80 0 4 2
## 242 80 0 12 3
## 243 80 1 29 2
## 244 80 0 15 3
## 245 80 1 20 2
## 246 80 1 6 2
## 247 80 1 7 2
## 248 80 1 3 2
## 249 80 0 10 2
## 250 80 0 4 3
## 251 80 0 5 0
## 252 80 2 21 3
## 253 80 3 23 2
## 254 80 3 0 6
## 255 80 1 23 3
## 256 80 0 20 2
## 257 80 1 9 1
## 258 80 0 10 3
## 259 80 0 8 0
## 260 80 1 22 3
## 261 80 2 31 4
## 262 80 1 10 5
## 263 80 0 10 2
## 264 80 2 12 3
## 265 80 1 5 5
## 266 80 1 8 3
## 267 80 0 11 2
## 268 80 2 13 4
## 269 80 0 11 2
## 270 80 1 16 3
## 271 80 2 20 4
## 272 80 2 1 2
## 273 80 0 10 2
## 274 80 0 1 0
## 275 80 0 1 3
## 276 80 0 11 2
## 277 80 0 7 2
## 278 80 1 10 1
## 279 80 1 10 2
## 280 80 0 1 5
## 281 80 1 6 2
## 282 80 1 10 5
## 283 80 1 13 4
## 284 80 1 18 4
## 285 80 0 7 4
## 286 80 0 5 2
## 287 80 1 10 1
## 288 80 0 4 2
## 289 80 1 19 0
## 290 80 0 3 3
## 291 80 0 10 2
## 292 80 2 6 3
## 293 80 1 6 3
## 294 80 0 17 3
## 295 80 0 1 5
## 296 80 0 16 6
## 297 80 0 12 0
## 298 80 0 1 2
## 299 80 1 25 2
## 300 80 1 8 2
## WorkLifeBalance YearsAtCompany YearsInCurrentRole
## 1 2 10 9
## 2 3 5 4
## 3 2 1 1
## 4 3 5 4
## 5 3 10 7
## 6 2 13 12
## 7 2 9 8
## 8 3 7 7
## 9 3 10 9
## 10 3 1 0
## 11 3 1 1
## 12 3 1 1
## 13 2 9 8
## 14 3 4 3
## 15 3 0 0
## 16 3 20 9
## 17 3 5 3
## 18 2 7 7
## 19 2 9 7
## 20 4 9 8
## 21 3 6 2
## 22 2 5 4
## 23 3 5 2
## 24 3 2 2
## 25 3 7 7
## 26 2 10 3
## 27 3 3 2
## 28 3 3 2
## 29 1 4 2
## 30 3 3 2
## 31 4 5 4
## 32 3 10 7
## 33 3 8 7
## 34 4 5 4
## 35 2 1 0
## 36 2 2 1
## 37 4 20 4
## 38 3 4 2
## 39 3 21 9
## 40 4 1 0
## 41 3 3 2
## 42 3 2 2
## 43 3 5 0
## 44 2 9 7
## 45 2 1 0
## 46 3 5 4
## 47 1 5 2
## 48 3 5 2
## 49 1 6 5
## 50 3 5 3
## 51 4 34 6
## 52 3 8 7
## 53 3 3 0
## 54 2 7 7
## 55 4 15 11
## 56 3 21 8
## 57 2 10 9
## 58 1 5 3
## 59 3 7 7
## 60 2 3 2
## 61 3 20 15
## 62 4 5 2
## 63 3 1 0
## 64 2 21 9
## 65 4 5 2
## 66 3 3 2
## 67 3 12 9
## 68 4 5 4
## 69 3 2 2
## 70 3 1 0
## 71 3 1 1
## 72 3 20 11
## 73 3 5 3
## 74 3 5 3
## 75 2 5 2
## 76 2 3 2
## 77 3 3 2
## 78 3 9 7
## 79 2 11 10
## 80 3 5 2
## 81 3 8 7
## 82 2 15 1
## 83 2 1 0
## 84 4 10 9
## 85 3 10 7
## 86 2 5 3
## 87 3 12 6
## 88 4 33 7
## 89 3 5 2
## 90 2 4 3
## 91 3 8 7
## 92 3 9 8
## 93 2 6 2
## 94 2 8 3
## 95 3 5 4
## 96 3 2 1
## 97 4 1 0
## 98 3 10 0
## 99 2 6 2
## 100 4 1 0
## 101 3 1 0
## 102 3 11 8
## 103 4 7 7
## 104 2 5 3
## 105 4 1 0
## 106 3 8 7
## 107 3 3 2
## 108 3 5 2
## 109 3 3 2
## 110 3 5 3
## 111 2 4 2
## 112 3 16 6
## 113 3 6 2
## 114 1 7 7
## 115 2 1 0
## 116 3 2 2
## 117 3 11 9
## 118 2 10 4
## 119 3 1 0
## 120 2 37 10
## 121 3 15 13
## 122 3 5 4
## 123 3 1 0
## 124 3 5 2
## 125 2 15 7
## 126 3 2 0
## 127 3 1 0
## 128 3 27 10
## 129 2 4 2
## 130 3 3 2
## 131 1 10 9
## 132 4 20 6
## 133 3 7 1
## 134 2 2 2
## 135 3 1 0
## 136 2 7 7
## 137 2 16 8
## 138 3 1 0
## 139 3 3 2
## 140 3 2 2
## 141 1 17 9
## 142 2 24 7
## 143 2 4 2
## 144 3 5 4
## 145 3 10 8
## 146 3 8 7
## 147 3 1 0
## 148 3 1 0
## 149 3 5 3
## 150 3 36 6
## 151 2 2 2
## 152 3 2 2
## 153 2 22 3
## 154 3 7 7
## 155 2 4 2
## 156 3 4 2
## 157 3 5 4
## 158 3 5 4
## 159 3 0 0
## 160 3 4 0
## 161 3 1 0
## 162 2 8 6
## 163 3 4 2
## 164 3 7 7
## 165 2 5 3
## 166 3 3 2
## 167 2 29 10
## 168 3 5 4
## 169 3 20 8
## 170 3 5 4
## 171 2 4 3
## 172 4 3 2
## 173 1 7 6
## 174 3 2 2
## 175 3 5 2
## 176 3 10 7
## 177 3 4 2
## 178 2 1 0
## 179 4 2 2
## 180 3 12 11
## 181 3 2 2
## 182 2 5 3
## 183 2 3 2
## 184 3 5 4
## 185 3 25 10
## 186 4 14 7
## 187 3 21 6
## 188 2 2 2
## 189 1 5 4
## 190 3 8 7
## 191 2 11 8
## 192 3 10 8
## 193 3 16 15
## 194 3 2 2
## 195 3 7 4
## 196 3 3 2
## 197 3 3 2
## 198 3 5 4
## 199 3 33 9
## 200 2 4 3
## 201 4 18 16
## 202 4 5 3
## 203 3 3 2
## 204 3 7 7
## 205 2 3 2
## 206 3 4 2
## 207 3 7 5
## 208 2 11 7
## 209 4 3 2
## 210 2 7 0
## 211 3 6 4
## 212 3 10 9
## 213 3 15 7
## 214 2 5 3
## 215 3 5 2
## 216 3 11 10
## 217 2 1 0
## 218 2 10 2
## 219 2 4 2
## 220 3 11 9
## 221 3 10 9
## 222 3 2 2
## 223 3 22 17
## 224 3 20 18
## 225 1 2 2
## 226 3 8 7
## 227 3 9 6
## 228 4 10 2
## 229 2 4 3
## 230 2 18 7
## 231 3 1 0
## 232 3 5 3
## 233 2 25 9
## 234 3 5 4
## 235 3 10 7
## 236 3 2 2
## 237 3 1 1
## 238 3 7 7
## 239 3 36 10
## 240 3 10 9
## 241 4 3 2
## 242 3 7 7
## 243 2 8 1
## 244 3 5 4
## 245 3 20 7
## 246 3 6 5
## 247 1 2 2
## 248 3 3 2
## 249 3 10 8
## 250 3 3 2
## 251 3 2 2
## 252 3 21 16
## 253 2 21 6
## 254 2 0 0
## 255 3 12 9
## 256 3 4 3
## 257 3 3 2
## 258 3 8 4
## 259 3 8 7
## 260 3 19 7
## 261 4 7 7
## 262 2 10 8
## 263 3 10 8
## 264 3 6 3
## 265 2 4 2
## 266 3 5 4
## 267 3 4 3
## 268 4 7 7
## 269 4 1 0
## 270 2 16 10
## 271 2 4 2
## 272 3 0 0
## 273 3 9 4
## 274 3 1 0
## 275 4 1 0
## 276 3 3 2
## 277 3 7 7
## 278 3 10 9
## 279 1 4 3
## 280 3 0 0
## 281 2 4 1
## 282 3 10 7
## 283 3 9 4
## 284 3 5 4
## 285 1 5 3
## 286 3 5 4
## 287 2 7 7
## 288 2 4 3
## 289 1 1 0
## 290 3 2 2
## 291 2 5 2
## 292 2 5 3
## 293 2 6 4
## 294 2 9 6
## 295 3 1 0
## 296 3 11 8
## 297 3 11 8
## 298 2 1 0
## 299 3 24 0
## 300 3 7 6
## YearsSinceLastPromotion YearsWithCurrManager
## 1 6 8
## 2 1 4
## 3 0 0
## 4 1 2
## 5 0 4
## 6 12 8
## 7 0 0
## 8 7 7
## 9 1 8
## 10 0 0
## 11 0 0
## 12 1 0
## 13 1 7
## 14 0 3
## 15 0 0
## 16 3 7
## 17 0 2
## 18 1 7
## 19 7 3
## 20 7 7
## 21 4 1
## 22 1 3
## 23 1 4
## 24 2 1
## 25 0 7
## 26 9 7
## 27 1 2
## 28 1 2
## 29 1 3
## 30 1 2
## 31 1 4
## 32 0 9
## 33 0 7
## 34 0 3
## 35 1 0
## 36 2 2
## 37 4 8
## 38 0 3
## 39 13 3
## 40 0 0
## 41 2 2
## 42 2 2
## 43 0 2
## 44 5 4
## 45 0 0
## 46 4 3
## 47 1 4
## 48 0 3
## 49 1 3
## 50 1 3
## 51 1 16
## 52 3 0
## 53 0 2
## 54 0 7
## 55 5 9
## 56 1 6
## 57 7 8
## 58 1 4
## 59 1 7
## 60 0 2
## 61 1 12
## 62 0 3
## 63 0 0
## 64 13 14
## 65 0 0
## 66 0 2
## 67 3 8
## 68 1 2
## 69 2 1
## 70 0 0
## 71 0 0
## 72 13 17
## 73 1 4
## 74 0 4
## 75 2 2
## 76 1 2
## 77 1 2
## 78 0 7
## 79 0 7
## 80 0 4
## 81 7 7
## 82 0 9
## 83 0 0
## 84 1 8
## 85 0 8
## 86 0 2
## 87 2 11
## 88 15 12
## 89 0 0
## 90 1 2
## 91 6 7
## 92 5 8
## 93 1 4
## 94 0 7
## 95 1 2
## 96 2 2
## 97 0 0
## 98 7 9
## 99 1 5
## 100 0 0
## 101 0 0
## 102 5 8
## 103 5 6
## 104 1 3
## 105 0 0
## 106 1 3
## 107 0 2
## 108 1 4
## 109 0 2
## 110 4 4
## 111 3 2
## 112 0 13
## 113 1 3
## 114 1 7
## 115 0 0
## 116 2 2
## 117 5 7
## 118 1 9
## 119 0 0
## 120 1 8
## 121 5 8
## 122 0 4
## 123 0 0
## 124 0 3
## 125 6 13
## 126 2 2
## 127 0 0
## 128 15 7
## 129 1 2
## 130 1 2
## 131 9 8
## 132 14 17
## 133 0 7
## 134 2 2
## 135 1 0
## 136 6 2
## 137 4 11
## 138 0 0
## 139 1 2
## 140 2 2
## 141 0 15
## 142 14 9
## 143 3 3
## 144 1 4
## 145 7 7
## 146 7 7
## 147 0 0
## 148 0 0
## 149 0 2
## 150 2 13
## 151 0 2
## 152 2 2
## 153 11 11
## 154 0 2
## 155 2 3
## 156 3 2
## 157 0 0
## 158 1 0
## 159 0 0
## 160 2 3
## 161 0 0
## 162 1 7
## 163 1 3
## 164 7 7
## 165 1 3
## 166 1 2
## 167 11 10
## 168 1 4
## 169 3 8
## 170 0 3
## 171 0 1
## 172 1 2
## 173 0 7
## 174 2 1
## 175 0 4
## 176 1 7
## 177 0 2
## 178 0 1
## 179 0 1
## 180 11 11
## 181 2 0
## 182 1 4
## 183 0 2
## 184 0 4
## 185 3 9
## 186 8 10
## 187 8 6
## 188 1 2
## 189 1 4
## 190 1 7
## 191 2 7
## 192 0 7
## 193 1 10
## 194 2 2
## 195 0 6
## 196 2 2
## 197 0 2
## 198 1 4
## 199 0 10
## 200 2 3
## 201 0 11
## 202 0 3
## 203 1 2
## 204 7 7
## 205 0 2
## 206 0 2
## 207 0 7
## 208 1 7
## 209 1 2
## 210 0 6
## 211 0 4
## 212 9 8
## 213 4 12
## 214 1 3
## 215 1 2
## 216 5 7
## 217 0 0
## 218 6 7
## 219 0 2
## 220 0 9
## 221 1 2
## 222 2 2
## 223 11 15
## 224 15 15
## 225 2 2
## 226 0 0
## 227 1 1
## 228 0 2
## 229 0 2
## 230 12 17
## 231 0 0
## 232 0 3
## 233 14 13
## 234 4 3
## 235 0 8
## 236 2 2
## 237 0 0
## 238 0 7
## 239 4 13
## 240 7 7
## 241 1 2
## 242 0 7
## 243 7 7
## 244 0 1
## 245 2 13
## 246 1 2
## 247 2 2
## 248 0 2
## 249 4 7
## 250 2 2
## 251 2 2
## 252 5 10
## 253 12 6
## 254 0 0
## 255 4 9
## 256 1 3
## 257 0 2
## 258 1 7
## 259 7 4
## 260 11 16
## 261 0 0
## 262 9 6
## 263 6 0
## 264 0 1
## 265 1 3
## 266 0 3
## 267 1 2
## 268 5 7
## 269 0 0
## 270 10 1
## 271 0 3
## 272 0 0
## 273 1 7
## 274 0 0
## 275 0 0
## 276 1 2
## 277 0 7
## 278 0 9
## 279 0 2
## 280 0 0
## 281 0 3
## 282 2 8
## 283 7 0
## 284 0 3
## 285 0 0
## 286 1 2
## 287 1 0
## 288 1 2
## 289 0 0
## 290 2 2
## 291 2 3
## 292 4 3
## 293 1 1
## 294 0 8
## 295 0 0
## 296 3 9
## 297 5 7
## 298 0 1
## 299 1 7
## 300 7 7
#File for Linear Regression Predictions
Case2PredictionsSeanMcWhirter=read.csv("C:/Users/seans/Desktop/DDS/Unit 14 and 15 Case Study 2/CaseStudy2CompSetNoSalary.csv", header=TRUE, sep=",", stringsAsFactors = TRUE)
saveRDS(Case2PredictionsSeanMcWhirter, file ="Case2PredictionsSeanMcWhirter_Attrition.Rds")
readRDS(Case2PredictionsSeanMcWhirter, file ="Case2PredictionsSeanMcWhirter_Attrition.Rds")
## ID Age Attrition BusinessTravel DailyRate Department
## 1 871 43 No Travel_Frequently 1422 Sales
## 2 872 33 No Travel_Rarely 461 Research & Development
## 3 873 55 Yes Travel_Rarely 267 Sales
## 4 874 36 No Non-Travel 1351 Research & Development
## 5 875 27 No Travel_Rarely 1302 Research & Development
## 6 876 39 Yes Travel_Rarely 895 Sales
## 7 877 33 No Non-Travel 750 Sales
## 8 878 21 Yes Travel_Frequently 251 Research & Development
## 9 879 30 No Travel_Frequently 1312 Research & Development
## 10 880 51 No Travel_Rarely 1405 Research & Development
## 11 881 46 Yes Travel_Rarely 377 Sales
## 12 882 40 No Travel_Rarely 329 Research & Development
## 13 883 29 No Travel_Rarely 1176 Sales
## 14 884 27 No Travel_Frequently 829 Sales
## 15 885 29 No Travel_Rarely 1210 Sales
## 16 886 22 Yes Travel_Rarely 617 Research & Development
## 17 887 29 No Travel_Rarely 726 Research & Development
## 18 888 34 No Travel_Rarely 167 Research & Development
## 19 889 31 No Travel_Rarely 655 Research & Development
## 20 890 35 No Travel_Rarely 528 Human Resources
## 21 891 40 No Travel_Rarely 523 Research & Development
## 22 892 30 No Travel_Rarely 1288 Sales
## 23 893 46 Yes Travel_Rarely 669 Sales
## 24 894 27 No Travel_Frequently 1410 Sales
## 25 895 49 No Travel_Rarely 1490 Research & Development
## 26 896 46 No Travel_Rarely 706 Research & Development
## 27 897 33 Yes Travel_Rarely 211 Sales
## 28 898 42 No Non-Travel 495 Research & Development
## 29 899 34 No Travel_Rarely 507 Sales
## 30 900 36 No Travel_Rarely 329 Research & Development
## 31 901 27 No Travel_Rarely 591 Research & Development
## 32 902 44 No Travel_Frequently 383 Sales
## 33 903 48 No Travel_Rarely 492 Sales
## 34 904 40 No Travel_Rarely 543 Research & Development
## 35 905 45 No Travel_Rarely 1234 Sales
## 36 906 33 No Travel_Frequently 970 Sales
## 37 907 46 No Travel_Frequently 638 Research & Development
## 38 908 37 No Travel_Rarely 1192 Research & Development
## 39 909 28 Yes Travel_Rarely 1434 Research & Development
## 40 910 32 No Travel_Rarely 827 Research & Development
## 41 911 43 No Travel_Rarely 920 Research & Development
## 42 912 38 No Travel_Frequently 1444 Human Resources
## 43 913 40 No Travel_Rarely 616 Research & Development
## 44 914 34 No Travel_Rarely 1354 Research & Development
## 45 915 41 No Travel_Rarely 549 Research & Development
## 46 916 23 No Travel_Rarely 507 Research & Development
## 47 917 28 No Travel_Rarely 1217 Research & Development
## 48 918 26 No Travel_Rarely 572 Sales
## 49 919 28 No Travel_Rarely 1144 Sales
## 50 920 59 No Travel_Rarely 1324 Research & Development
## 51 921 30 No Travel_Rarely 413 Sales
## 52 922 35 No Travel_Rarely 1229 Research & Development
## 53 923 36 Yes Travel_Rarely 660 Research & Development
## 54 924 42 No Non-Travel 179 Human Resources
## 55 925 54 No Travel_Rarely 584 Research & Development
## 56 926 40 No Travel_Rarely 1171 Research & Development
## 57 927 32 No Travel_Rarely 604 Sales
## 58 928 38 No Travel_Rarely 201 Research & Development
## 59 929 22 No Non-Travel 1123 Research & Development
## 60 930 32 No Travel_Frequently 1005 Research & Development
## 61 931 34 No Non-Travel 1375 Sales
## 62 932 32 No Travel_Rarely 1018 Research & Development
## 63 933 41 No Travel_Rarely 645 Sales
## 64 934 58 Yes Travel_Frequently 781 Research & Development
## 65 935 20 Yes Travel_Rarely 129 Research & Development
## 66 936 24 Yes Travel_Frequently 381 Research & Development
## 67 937 46 No Travel_Rarely 644 Research & Development
## 68 938 51 Yes Travel_Frequently 1150 Research & Development
## 69 939 39 No Travel_Rarely 116 Research & Development
## 70 940 28 No Travel_Rarely 1172 Sales
## 71 941 40 Yes Travel_Rarely 676 Research & Development
## 72 942 39 No Travel_Rarely 1462 Sales
## 73 943 59 No Travel_Rarely 1435 Sales
## 74 944 27 No Travel_Rarely 1055 Research & Development
## 75 945 18 No Travel_Rarely 812 Sales
## 76 946 29 No Travel_Frequently 995 Research & Development
## 77 947 21 Yes Travel_Rarely 337 Sales
## 78 948 26 No Travel_Rarely 1349 Research & Development
## 79 949 26 Yes Travel_Frequently 426 Human Resources
## 80 950 47 Yes Travel_Frequently 719 Sales
## 81 951 42 No Non-Travel 355 Research & Development
## 82 952 40 No Travel_Rarely 300 Sales
## 83 953 37 No Travel_Rarely 124 Research & Development
## 84 954 27 No Travel_Frequently 1297 Research & Development
## 85 955 39 No Non-Travel 439 Research & Development
## 86 956 45 No Travel_Rarely 176 Human Resources
## 87 957 56 No Travel_Rarely 1400 Research & Development
## 88 958 32 No Non-Travel 1109 Research & Development
## 89 959 41 No Travel_Rarely 1206 Sales
## 90 960 58 Yes Travel_Rarely 286 Research & Development
## 91 961 29 No Travel_Rarely 665 Research & Development
## 92 962 40 No Travel_Rarely 1300 Research & Development
## 93 963 38 No Travel_Frequently 471 Research & Development
## 94 964 39 No Travel_Rarely 141 Human Resources
## 95 965 25 No Travel_Rarely 1280 Research & Development
## 96 966 50 No Travel_Rarely 989 Research & Development
## 97 967 29 No Travel_Rarely 468 Research & Development
## 98 968 36 No Travel_Rarely 164 Sales
## 99 969 50 No Travel_Frequently 1421 Research & Development
## 100 970 26 Yes Travel_Rarely 1449 Research & Development
## 101 971 27 No Travel_Rarely 954 Sales
## 102 972 31 No Travel_Rarely 616 Research & Development
## 103 973 28 No Travel_Frequently 791 Research & Development
## 104 974 20 No Travel_Rarely 959 Research & Development
## 105 975 24 No Travel_Rarely 1206 Research & Development
## 106 976 29 Yes Travel_Rarely 896 Research & Development
## 107 977 48 No Travel_Rarely 277 Research & Development
## 108 978 39 Yes Travel_Rarely 360 Research & Development
## 109 979 35 No Travel_Rarely 607 Research & Development
## 110 980 49 No Travel_Rarely 1098 Research & Development
## 111 981 35 No Travel_Rarely 1402 Sales
## 112 982 46 No Travel_Rarely 1125 Sales
## 113 983 52 No Travel_Rarely 1323 Research & Development
## 114 984 26 No Travel_Rarely 1167 Sales
## 115 985 36 No Travel_Rarely 1120 Sales
## 116 986 32 Yes Travel_Frequently 238 Research & Development
## 117 987 22 Yes Travel_Frequently 1256 Research & Development
## 118 988 32 No Travel_Rarely 601 Sales
## 119 989 39 No Travel_Frequently 945 Research & Development
## 120 990 31 No Travel_Rarely 408 Research & Development
## 121 991 39 No Travel_Rarely 1383 Human Resources
## 122 992 24 No Travel_Rarely 581 Research & Development
## 123 993 30 No Travel_Rarely 1240 Human Resources
## 124 994 40 No Travel_Frequently 1184 Sales
## 125 995 38 No Non-Travel 152 Sales
## 126 996 34 No Travel_Rarely 665 Research & Development
## 127 997 38 No Travel_Frequently 1391 Research & Development
## 128 998 54 No Travel_Rarely 971 Research & Development
## 129 999 35 No Travel_Rarely 882 Sales
## 130 1000 32 Yes Travel_Rarely 374 Research & Development
## 131 1001 46 No Travel_Rarely 945 Human Resources
## 132 1002 47 No Travel_Frequently 1309 Sales
## 133 1003 32 No Travel_Rarely 977 Research & Development
## 134 1004 47 No Travel_Rarely 983 Research & Development
## 135 1005 48 No Travel_Rarely 1108 Research & Development
## 136 1006 34 No Travel_Rarely 735 Sales
## 137 1007 20 No Travel_Rarely 1141 Sales
## 138 1008 38 No Travel_Rarely 688 Research & Development
## 139 1009 53 No Travel_Rarely 1223 Research & Development
## 140 1010 53 No Travel_Rarely 1436 Sales
## 141 1011 37 Yes Travel_Frequently 504 Research & Development
## 142 1012 34 No Travel_Rarely 1031 Research & Development
## 143 1013 32 No Travel_Rarely 588 Sales
## 144 1014 34 Yes Travel_Frequently 234 Research & Development
## 145 1015 30 Yes Travel_Frequently 334 Sales
## 146 1016 43 No Travel_Rarely 990 Research & Development
## 147 1017 42 No Travel_Rarely 269 Research & Development
## 148 1018 35 No Travel_Rarely 662 Sales
## 149 1019 30 No Travel_Rarely 1339 Sales
## 150 1020 18 No Non-Travel 287 Research & Development
## 151 1021 45 No Travel_Rarely 561 Sales
## 152 1022 36 No Non-Travel 845 Sales
## 153 1023 39 No Travel_Rarely 835 Research & Development
## 154 1024 45 No Non-Travel 1238 Research & Development
## 155 1025 41 No Travel_Frequently 857 Research & Development
## 156 1026 39 No Non-Travel 105 Research & Development
## 157 1027 31 No Travel_Rarely 106 Human Resources
## 158 1028 25 No Travel_Rarely 891 Sales
## 159 1029 24 Yes Travel_Rarely 693 Sales
## 160 1030 44 Yes Travel_Rarely 1376 Human Resources
## 161 1031 32 No Travel_Rarely 499 Sales
## 162 1032 43 No Travel_Rarely 244 Human Resources
## 163 1033 27 No Travel_Rarely 269 Research & Development
## 164 1034 26 No Travel_Rarely 482 Research & Development
## 165 1035 40 No Non-Travel 663 Research & Development
## 166 1036 20 Yes Travel_Rarely 1362 Research & Development
## 167 1037 25 No Travel_Rarely 883 Sales
## 168 1038 54 No Travel_Rarely 397 Human Resources
## 169 1039 39 No Travel_Rarely 1253 Research & Development
## 170 1040 29 No Travel_Rarely 657 Research & Development
## 171 1041 31 Yes Travel_Frequently 307 Research & Development
## 172 1042 33 No Travel_Rarely 1198 Research & Development
## 173 1043 36 No Travel_Rarely 557 Sales
## 174 1044 36 No Travel_Rarely 928 Sales
## 175 1045 28 No Non-Travel 1103 Research & Development
## 176 1046 28 Yes Travel_Frequently 1009 Research & Development
## 177 1047 38 Yes Travel_Rarely 903 Research & Development
## 178 1048 33 No Travel_Frequently 553 Research & Development
## 179 1049 27 Yes Travel_Rarely 135 Research & Development
## 180 1050 35 Yes Travel_Rarely 763 Sales
## 181 1051 53 Yes Travel_Rarely 607 Research & Development
## 182 1052 36 No Travel_Frequently 635 Research & Development
## 183 1053 43 No Travel_Rarely 1473 Research & Development
## 184 1054 28 No Travel_Rarely 995 Research & Development
## 185 1055 27 No Travel_Frequently 591 Research & Development
## 186 1056 25 Yes Travel_Rarely 688 Research & Development
## 187 1057 27 No Travel_Frequently 472 Research & Development
## 188 1058 43 No Travel_Rarely 1034 Sales
## 189 1059 37 No Travel_Rarely 1239 Human Resources
## 190 1060 28 No Travel_Rarely 1451 Research & Development
## 191 1061 57 No Travel_Rarely 405 Research & Development
## 192 1062 34 No Travel_Frequently 426 Research & Development
## 193 1063 33 No Travel_Frequently 1296 Research & Development
## 194 1064 23 Yes Travel_Rarely 427 Sales
## 195 1065 58 No Non-Travel 390 Research & Development
## 196 1066 23 No Travel_Rarely 650 Research & Development
## 197 1067 40 No Travel_Rarely 1194 Research & Development
## 198 1068 60 No Travel_Rarely 422 Research & Development
## 199 1069 33 No Travel_Frequently 430 Sales
## 200 1070 50 No Travel_Rarely 316 Sales
## 201 1071 27 No Travel_Rarely 1291 Sales
## 202 1072 31 No Travel_Rarely 480 Research & Development
## 203 1073 20 No Travel_Rarely 654 Sales
## 204 1074 30 No Travel_Rarely 305 Research & Development
## 205 1075 56 No Travel_Rarely 1443 Sales
## 206 1076 46 No Travel_Rarely 1402 Sales
## 207 1077 53 No Travel_Rarely 1282 Research & Development
## 208 1078 31 No Travel_Rarely 311 Research & Development
## 209 1079 36 No Travel_Rarely 506 Research & Development
## 210 1080 42 No Travel_Frequently 532 Research & Development
## 211 1081 40 No Travel_Rarely 1322 Research & Development
## 212 1082 35 No Travel_Rarely 287 Research & Development
## 213 1083 23 Yes Travel_Frequently 638 Sales
## 214 1084 35 No Travel_Rarely 619 Sales
## 215 1085 38 No Travel_Frequently 216 Research & Development
## 216 1086 40 No Travel_Frequently 580 Sales
## 217 1087 31 No Travel_Rarely 1003 Sales
## 218 1088 38 No Travel_Rarely 268 Research & Development
## 219 1089 31 No Travel_Rarely 691 Research & Development
## 220 1090 27 No Travel_Rarely 205 Sales
## 221 1091 29 No Travel_Rarely 144 Sales
## 222 1092 36 No Non-Travel 301 Sales
## 223 1093 37 No Travel_Frequently 663 Research & Development
## 224 1094 40 No Travel_Rarely 107 Sales
## 225 1095 25 No Non-Travel 675 Research & Development
## 226 1096 37 No Travel_Rarely 446 Research & Development
## 227 1097 37 No Travel_Rarely 1017 Research & Development
## 228 1098 30 Yes Travel_Frequently 600 Human Resources
## 229 1099 32 No Travel_Rarely 1062 Research & Development
## 230 1100 37 Yes Travel_Rarely 370 Research & Development
## 231 1101 40 No Travel_Rarely 989 Research & Development
## 232 1102 40 No Travel_Rarely 759 Sales
## 233 1103 38 No Non-Travel 1327 Sales
## 234 1104 53 No Travel_Rarely 661 Sales
## 235 1105 36 No Travel_Rarely 188 Research & Development
## 236 1106 29 No Travel_Frequently 490 Research & Development
## 237 1107 27 No Travel_Rarely 1103 Research & Development
## 238 1108 44 No Travel_Rarely 1112 Human Resources
## 239 1109 27 No Travel_Frequently 1242 Sales
## 240 1110 35 No Travel_Rarely 682 Sales
## 241 1111 35 No Non-Travel 208 Research & Development
## 242 1112 59 No Travel_Rarely 1089 Sales
## 243 1113 33 Yes Travel_Rarely 1277 Research & Development
## 244 1114 50 Yes Travel_Frequently 562 Sales
## 245 1115 47 No Travel_Rarely 1180 Research & Development
## 246 1116 27 No Travel_Frequently 1131 Research & Development
## 247 1117 37 No Travel_Rarely 1305 Research & Development
## 248 1118 28 No Non-Travel 1476 Research & Development
## 249 1119 58 No Travel_Rarely 1272 Research & Development
## 250 1120 34 No Travel_Rarely 204 Sales
## 251 1121 50 Yes Travel_Rarely 410 Sales
## 252 1122 48 No Non-Travel 1262 Research & Development
## 253 1123 31 No Travel_Frequently 1125 Research & Development
## 254 1124 45 No Non-Travel 1195 Research & Development
## 255 1125 34 No Travel_Rarely 1320 Research & Development
## 256 1126 19 Yes Travel_Frequently 602 Sales
## 257 1127 24 Yes Travel_Frequently 1287 Research & Development
## 258 1128 52 No Travel_Rarely 1325 Research & Development
## 259 1129 41 No Travel_Rarely 334 Sales
## 260 1130 22 No Travel_Rarely 217 Research & Development
## 261 1131 31 No Travel_Frequently 1327 Research & Development
## 262 1132 39 No Travel_Rarely 412 Research & Development
## 263 1133 42 No Travel_Rarely 622 Research & Development
## 264 1134 38 No Travel_Frequently 148 Research & Development
## 265 1135 32 Yes Travel_Rarely 1033 Research & Development
## 266 1136 26 No Travel_Rarely 192 Research & Development
## 267 1137 37 No Travel_Rarely 921 Research & Development
## 268 1138 41 No Travel_Frequently 1018 Sales
## 269 1139 38 No Travel_Rarely 119 Sales
## 270 1140 43 No Travel_Rarely 1291 Research & Development
## 271 1141 31 No Travel_Rarely 1463 Research & Development
## 272 1142 42 No Travel_Rarely 691 Sales
## 273 1143 48 No Travel_Rarely 1355 Research & Development
## 274 1144 28 No Travel_Rarely 821 Sales
## 275 1145 44 No Travel_Frequently 602 Human Resources
## 276 1146 45 No Travel_Rarely 374 Sales
## 277 1147 34 No Travel_Rarely 628 Research & Development
## 278 1148 31 No Travel_Rarely 471 Research & Development
## 279 1149 29 No Travel_Rarely 1010 Research & Development
## 280 1150 30 No Travel_Rarely 288 Research & Development
## 281 1151 38 No Travel_Frequently 693 Research & Development
## 282 1152 27 No Travel_Frequently 793 Sales
## 283 1153 54 No Travel_Frequently 928 Research & Development
## 284 1154 28 Yes Travel_Rarely 1485 Research & Development
## 285 1155 49 No Travel_Rarely 470 Research & Development
## 286 1156 51 No Travel_Rarely 313 Research & Development
## 287 1157 29 Yes Travel_Rarely 341 Sales
## 288 1158 36 No Travel_Rarely 430 Research & Development
## 289 1159 27 No Travel_Rarely 199 Research & Development
## 290 1160 36 No Travel_Rarely 216 Research & Development
## 291 1161 44 Yes Travel_Rarely 1097 Research & Development
## 292 1162 38 No Travel_Rarely 168 Research & Development
## 293 1163 29 No Travel_Frequently 574 Research & Development
## 294 1164 37 No Travel_Rarely 799 Research & Development
## 295 1165 26 Yes Travel_Frequently 887 Research & Development
## 296 1166 32 No Travel_Frequently 116 Research & Development
## 297 1167 40 No Travel_Rarely 1492 Research & Development
## 298 1168 30 No Travel_Rarely 1082 Sales
## 299 1169 27 No Travel_Rarely 798 Research & Development
## 300 1170 37 No Travel_Rarely 290 Research & Development
## DistanceFromHome Education EducationField EmployeeCount
## 1 2 4 Life Sciences 1
## 2 13 1 Life Sciences 1
## 3 13 4 Marketing 1
## 4 9 4 Life Sciences 1
## 5 19 3 Other 1
## 6 5 3 Technical Degree 1
## 7 22 2 Marketing 1
## 8 10 2 Life Sciences 1
## 9 23 3 Life Sciences 1
## 10 11 2 Technical Degree 1
## 11 9 3 Marketing 1
## 12 1 4 Life Sciences 1
## 13 3 2 Medical 1
## 14 8 1 Marketing 1
## 15 2 3 Medical 1
## 16 3 1 Life Sciences 1
## 17 29 1 Life Sciences 1
## 18 8 5 Life Sciences 1
## 19 7 4 Life Sciences 1
## 20 8 4 Technical Degree 1
## 21 2 3 Life Sciences 1
## 22 29 4 Technical Degree 1
## 23 9 2 Medical 1
## 24 3 1 Medical 1
## 25 7 4 Life Sciences 1
## 26 2 2 Life Sciences 1
## 27 16 3 Life Sciences 1
## 28 2 1 Life Sciences 1
## 29 15 2 Medical 1
## 30 2 3 Life Sciences 1
## 31 2 1 Medical 1
## 32 1 5 Marketing 1
## 33 16 4 Life Sciences 1
## 34 1 4 Life Sciences 1
## 35 11 2 Life Sciences 1
## 36 7 3 Life Sciences 1
## 37 1 3 Medical 1
## 38 5 2 Medical 1
## 39 5 4 Technical Degree 1
## 40 1 1 Life Sciences 1
## 41 3 3 Life Sciences 1
## 42 1 4 Other 1
## 43 2 2 Life Sciences 1
## 44 5 3 Medical 1
## 45 7 2 Medical 1
## 46 20 1 Life Sciences 1
## 47 1 3 Medical 1
## 48 10 3 Medical 1
## 49 10 1 Medical 1
## 50 3 3 Medical 1
## 51 7 1 Marketing 1
## 52 8 1 Life Sciences 1
## 53 15 3 Other 1
## 54 2 5 Medical 1
## 55 22 5 Medical 1
## 56 10 4 Life Sciences 1
## 57 8 3 Medical 1
## 58 10 3 Medical 1
## 59 16 2 Medical 1
## 60 2 2 Life Sciences 1
## 61 10 3 Life Sciences 1
## 62 3 2 Life Sciences 1
## 63 1 3 Marketing 1
## 64 2 1 Life Sciences 1
## 65 4 3 Technical Degree 1
## 66 9 3 Medical 1
## 67 1 4 Medical 1
## 68 8 4 Life Sciences 1
## 69 24 1 Life Sciences 1
## 70 3 3 Medical 1
## 71 9 4 Life Sciences 1
## 72 6 3 Medical 1
## 73 25 3 Life Sciences 1
## 74 2 4 Life Sciences 1
## 75 10 3 Medical 1
## 76 2 1 Life Sciences 1
## 77 7 1 Marketing 1
## 78 23 3 Life Sciences 1
## 79 17 4 Life Sciences 1
## 80 27 2 Life Sciences 1
## 81 10 4 Technical Degree 1
## 82 26 3 Marketing 1
## 83 3 3 Other 1
## 84 5 2 Life Sciences 1
## 85 9 3 Life Sciences 1
## 86 4 3 Life Sciences 1
## 87 7 3 Life Sciences 1
## 88 29 4 Medical 1
## 89 23 2 Life Sciences 1
## 90 2 4 Life Sciences 1
## 91 15 3 Life Sciences 1
## 92 24 2 Technical Degree 1
## 93 12 3 Life Sciences 1
## 94 3 3 Human Resources 1
## 95 7 1 Medical 1
## 96 7 2 Medical 1
## 97 28 4 Medical 1
## 98 2 2 Medical 1
## 99 2 3 Medical 1
## 100 16 4 Medical 1
## 101 9 3 Marketing 1
## 102 12 3 Medical 1
## 103 1 4 Medical 1
## 104 1 3 Life Sciences 1
## 105 17 1 Medical 1
## 106 18 1 Medical 1
## 107 6 3 Life Sciences 1
## 108 23 3 Medical 1
## 109 9 3 Life Sciences 1
## 110 4 2 Medical 1
## 111 28 4 Life Sciences 1
## 112 10 3 Marketing 1
## 113 2 3 Life Sciences 1
## 114 5 3 Other 1
## 115 11 4 Marketing 1
## 116 5 2 Life Sciences 1
## 117 3 4 Life Sciences 1
## 118 7 5 Marketing 1
## 119 22 3 Medical 1
## 120 9 4 Life Sciences 1
## 121 2 3 Life Sciences 1
## 122 9 3 Medical 1
## 123 9 3 Human Resources 1
## 124 2 4 Medical 1
## 125 10 3 Technical Degree 1
## 126 6 4 Other 1
## 127 10 1 Medical 1
## 128 1 3 Medical 1
## 129 3 4 Life Sciences 1
## 130 25 4 Life Sciences 1
## 131 5 2 Medical 1
## 132 4 1 Medical 1
## 133 2 3 Medical 1
## 134 2 2 Medical 1
## 135 15 4 Other 1
## 136 3 1 Medical 1
## 137 2 3 Medical 1
## 138 23 4 Life Sciences 1
## 139 7 2 Medical 1
## 140 6 2 Marketing 1
## 141 10 3 Medical 1
## 142 6 4 Life Sciences 1
## 143 8 2 Technical Degree 1
## 144 9 4 Life Sciences 1
## 145 26 4 Marketing 1
## 146 27 3 Technical Degree 1
## 147 2 3 Medical 1
## 148 1 5 Marketing 1
## 149 5 3 Life Sciences 1
## 150 5 2 Life Sciences 1
## 151 2 3 Other 1
## 152 1 5 Medical 1
## 153 19 4 Other 1
## 154 1 1 Life Sciences 1
## 155 10 3 Life Sciences 1
## 156 9 3 Life Sciences 1
## 157 2 3 Human Resources 1
## 158 4 2 Life Sciences 1
## 159 3 2 Life Sciences 1
## 160 1 2 Medical 1
## 161 2 1 Marketing 1
## 162 2 3 Life Sciences 1
## 163 5 1 Technical Degree 1
## 164 1 2 Life Sciences 1
## 165 9 4 Other 1
## 166 10 1 Medical 1
## 167 26 1 Medical 1
## 168 19 4 Medical 1
## 169 10 1 Medical 1
## 170 27 3 Medical 1
## 171 29 2 Medical 1
## 172 1 4 Other 1
## 173 3 3 Medical 1
## 174 1 2 Life Sciences 1
## 175 16 3 Medical 1
## 176 1 3 Medical 1
## 177 2 3 Medical 1
## 178 5 4 Life Sciences 1
## 179 17 4 Life Sciences 1
## 180 15 2 Medical 1
## 181 2 5 Technical Degree 1
## 182 18 1 Medical 1
## 183 8 4 Other 1
## 184 9 3 Medical 1
## 185 2 3 Medical 1
## 186 3 3 Medical 1
## 187 1 1 Technical Degree 1
## 188 16 3 Marketing 1
## 189 8 2 Other 1
## 190 2 1 Life Sciences 1
## 191 1 2 Life Sciences 1
## 192 10 4 Life Sciences 1
## 193 6 3 Life Sciences 1
## 194 7 3 Life Sciences 1
## 195 1 4 Life Sciences 1
## 196 9 1 Medical 1
## 197 2 4 Medical 1
## 198 7 3 Life Sciences 1
## 199 7 3 Medical 1
## 200 8 4 Marketing 1
## 201 11 3 Medical 1
## 202 7 2 Medical 1
## 203 21 3 Marketing 1
## 204 16 3 Life Sciences 1
## 205 11 5 Marketing 1
## 206 2 3 Marketing 1
## 207 5 3 Other 1
## 208 20 3 Life Sciences 1
## 209 3 3 Technical Degree 1
## 210 29 2 Life Sciences 1
## 211 2 4 Life Sciences 1
## 212 1 4 Life Sciences 1
## 213 9 3 Marketing 1
## 214 1 3 Marketing 1
## 215 23 3 Life Sciences 1
## 216 5 4 Life Sciences 1
## 217 5 3 Technical Degree 1
## 218 2 5 Medical 1
## 219 5 4 Technical Degree 1
## 220 10 3 Marketing 1
## 221 10 1 Marketing 1
## 222 15 4 Marketing 1
## 223 11 3 Other 1
## 224 10 3 Technical Degree 1
## 225 5 2 Life Sciences 1
## 226 1 4 Life Sciences 1
## 227 1 2 Medical 1
## 228 8 3 Human Resources 1
## 229 2 3 Medical 1
## 230 10 4 Medical 1
## 231 4 1 Medical 1
## 232 2 2 Marketing 1
## 233 2 2 Life Sciences 1
## 234 7 2 Marketing 1
## 235 7 4 Other 1
## 236 10 3 Life Sciences 1
## 237 14 3 Life Sciences 1
## 238 1 4 Life Sciences 1
## 239 20 3 Life Sciences 1
## 240 18 4 Medical 1
## 241 8 4 Life Sciences 1
## 242 1 2 Technical Degree 1
## 243 15 1 Medical 1
## 244 8 2 Technical Degree 1
## 245 25 3 Medical 1
## 246 15 3 Life Sciences 1
## 247 10 4 Life Sciences 1
## 248 1 3 Life Sciences 1
## 249 5 3 Technical Degree 1
## 250 14 3 Technical Degree 1
## 251 28 3 Marketing 1
## 252 1 4 Medical 1
## 253 1 3 Life Sciences 1
## 254 2 2 Medical 1
## 255 20 3 Technical Degree 1
## 256 1 1 Technical Degree 1
## 257 7 3 Life Sciences 1
## 258 11 4 Life Sciences 1
## 259 2 4 Life Sciences 1
## 260 8 1 Life Sciences 1
## 261 3 4 Medical 1
## 262 13 4 Medical 1
## 263 2 4 Life Sciences 1
## 264 2 3 Medical 1
## 265 9 3 Medical 1
## 266 1 2 Medical 1
## 267 10 3 Medical 1
## 268 1 3 Marketing 1
## 269 3 3 Life Sciences 1
## 270 15 2 Life Sciences 1
## 271 23 3 Medical 1
## 272 8 4 Marketing 1
## 273 4 4 Life Sciences 1
## 274 5 4 Medical 1
## 275 1 5 Human Resources 1
## 276 20 3 Life Sciences 1
## 277 8 3 Medical 1
## 278 4 3 Medical 1
## 279 1 3 Life Sciences 1
## 280 2 3 Life Sciences 1
## 281 7 3 Life Sciences 1
## 282 2 1 Life Sciences 1
## 283 20 4 Life Sciences 1
## 284 12 1 Life Sciences 1
## 285 20 4 Medical 1
## 286 3 3 Medical 1
## 287 1 3 Medical 1
## 288 2 4 Other 1
## 289 6 3 Life Sciences 1
## 290 6 2 Medical 1
## 291 10 4 Life Sciences 1
## 292 1 3 Life Sciences 1
## 293 20 1 Medical 1
## 294 1 3 Technical Degree 1
## 295 5 2 Medical 1
## 296 13 3 Other 1
## 297 20 4 Technical Degree 1
## 298 12 3 Technical Degree 1
## 299 6 4 Medical 1
## 300 21 3 Life Sciences 1
## EmployeeNumber EnvironmentSatisfaction Gender HourlyRate
## 1 1849 1 Male 92
## 2 995 2 Female 53
## 3 1372 1 Male 85
## 4 1949 1 Male 66
## 5 1619 4 Male 67
## 6 42 4 Male 56
## 7 160 3 Male 95
## 8 1279 1 Female 45
## 9 159 1 Male 96
## 10 1367 4 Female 82
## 11 1457 1 Male 52
## 12 1361 2 Male 88
## 13 690 2 Female 62
## 14 800 3 Male 84
## 15 366 1 Male 78
## 16 926 2 Female 34
## 17 1859 4 Male 93
## 18 775 2 Female 32
## 19 76 4 Male 48
## 20 1164 3 Male 100
## 21 1346 3 Male 98
## 22 1568 3 Male 33
## 23 118 3 Male 64
## 24 714 4 Female 71
## 25 1484 3 Male 35
## 26 1857 4 Male 82
## 27 1758 1 Female 74
## 28 1334 3 Male 37
## 29 1356 3 Female 66
## 30 501 4 Female 96
## 31 7 1 Male 40
## 32 1481 1 Female 79
## 33 1557 3 Female 96
## 34 2012 1 Male 83
## 35 1045 4 Female 90
## 36 1114 4 Female 30
## 37 124 3 Male 40
## 38 460 4 Male 61
## 39 65 3 Male 50
## 40 134 4 Male 71
## 41 1255 3 Male 96
## 42 1972 4 Male 88
## 43 1802 3 Female 99
## 44 153 3 Female 45
## 45 1025 4 Female 42
## 46 1533 1 Male 97
## 47 1834 3 Female 67
## 48 1836 3 Male 46
## 49 1056 4 Male 74
## 50 10 3 Female 81
## 51 585 4 Male 57
## 52 63 4 Male 36
## 53 1052 1 Male 81
## 54 1231 4 Male 79
## 55 1665 2 Female 91
## 56 483 4 Female 46
## 57 1304 3 Male 56
## 58 2015 2 Female 99
## 59 22 4 Male 96
## 60 8 4 Male 79
## 61 1774 4 Male 87
## 62 727 3 Female 39
## 63 534 2 Male 49
## 64 918 4 Male 57
## 65 960 1 Male 84
## 66 1494 2 Male 89
## 67 288 4 Male 97
## 68 179 1 Male 53
## 69 2014 1 Male 52
## 70 1875 2 Female 78
## 71 1534 4 Male 86
## 72 1588 4 Male 38
## 73 81 1 Female 99
## 74 1027 1 Female 47
## 75 411 4 Female 69
## 76 1590 1 Male 87
## 77 1780 2 Male 31
## 78 560 1 Female 90
## 79 608 2 Female 58
## 80 785 2 Female 77
## 81 1854 3 Male 38
## 82 1066 3 Male 74
## 83 1062 4 Female 35
## 84 1850 4 Female 53
## 85 1132 3 Male 70
## 86 1744 3 Female 56
## 87 112 4 Male 49
## 88 1046 4 Female 69
## 89 1678 4 Male 80
## 90 825 4 Male 31
## 91 346 3 Male 60
## 92 335 1 Male 62
## 93 837 1 Male 45
## 94 760 3 Female 44
## 95 143 4 Male 64
## 96 80 2 Female 43
## 97 2054 4 Female 73
## 98 513 2 Male 61
## 99 1215 4 Female 30
## 100 394 1 Male 45
## 101 1965 4 Male 44
## 102 961 4 Female 41
## 103 1286 4 Male 44
## 104 657 4 Female 83
## 105 1009 4 Female 41
## 106 315 3 Male 86
## 107 1022 1 Male 97
## 108 1310 3 Male 93
## 109 880 4 Female 66
## 110 1256 1 Male 85
## 111 1554 2 Female 98
## 112 580 3 Female 94
## 113 316 3 Female 89
## 114 2060 4 Female 30
## 115 2045 2 Female 100
## 116 1939 1 Female 47
## 117 1203 3 Male 48
## 118 1446 4 Male 97
## 119 1043 4 Female 82
## 120 493 3 Male 42
## 121 909 4 Female 42
## 122 1707 3 Male 62
## 123 184 3 Male 48
## 124 1212 2 Male 62
## 125 983 3 Female 85
## 126 138 1 Female 41
## 127 1006 3 Male 66
## 128 1422 4 Female 54
## 129 984 4 Male 92
## 130 911 1 Male 87
## 131 103 2 Male 80
## 132 467 2 Male 99
## 133 1671 4 Male 45
## 134 574 1 Female 65
## 135 1576 3 Female 65
## 136 1915 4 Female 75
## 137 1657 3 Female 31
## 138 393 4 Male 82
## 139 1201 4 Female 50
## 140 205 2 Male 34
## 141 342 1 Male 61
## 142 151 3 Female 45
## 143 436 3 Female 65
## 144 1807 4 Male 93
## 145 299 3 Female 52
## 146 1599 4 Male 87
## 147 351 4 Female 56
## 148 204 3 Male 94
## 149 228 2 Female 41
## 150 1012 2 Male 73
## 151 606 4 Male 61
## 152 479 4 Female 45
## 153 1871 4 Male 41
## 154 1712 3 Male 74
## 155 199 4 Male 91
## 156 2022 4 Male 87
## 157 424 1 Male 62
## 158 527 2 Female 99
## 159 720 1 Female 65
## 160 1098 2 Male 91
## 161 1396 3 Male 36
## 162 1778 2 Male 97
## 163 844 3 Male 42
## 164 1893 2 Female 90
## 165 1449 3 Male 81
## 166 701 4 Male 32
## 167 781 3 Female 32
## 168 698 3 Male 88
## 169 1800 3 Male 65
## 170 793 2 Female 66
## 171 355 3 Male 71
## 172 939 3 Male 100
## 173 2024 1 Female 94
## 174 857 2 Male 56
## 175 1947 3 Male 49
## 176 1111 1 Male 45
## 177 1573 3 Male 81
## 178 428 4 Female 74
## 179 1405 4 Female 51
## 180 1645 1 Male 59
## 181 1572 3 Female 78
## 182 286 2 Female 73
## 183 526 3 Female 74
## 184 930 3 Female 77
## 185 1648 4 Male 87
## 186 538 1 Male 91
## 187 274 3 Male 60
## 188 327 4 Female 80
## 189 1794 3 Male 89
## 190 1136 1 Male 67
## 191 1483 2 Male 93
## 192 1615 3 Male 42
## 193 692 3 Male 30
## 194 1702 3 Male 99
## 195 422 4 Male 32
## 196 758 2 Male 37
## 197 2051 3 Female 98
## 198 549 1 Female 41
## 199 1477 4 Male 54
## 200 738 4 Male 54
## 201 1364 3 Female 98
## 202 524 2 Female 31
## 203 1226 3 Male 43
## 204 1763 3 Male 58
## 205 1935 4 Female 89
## 206 1204 3 Female 69
## 207 32 3 Female 58
## 208 1881 2 Male 89
## 209 397 3 Male 30
## 210 547 1 Female 92
## 211 2048 3 Male 52
## 212 2052 3 Female 62
## 213 2023 4 Male 33
## 214 600 2 Male 85
## 215 12 4 Male 44
## 216 729 4 Male 48
## 217 1749 1 Male 51
## 218 773 4 Male 92
## 219 423 3 Male 86
## 220 1403 4 Female 98
## 221 463 4 Female 39
## 222 2036 4 Male 88
## 223 306 2 Male 47
## 224 1239 2 Female 84
## 225 369 2 Male 85
## 226 635 2 Female 65
## 227 340 3 Female 83
## 228 1747 3 Female 66
## 229 471 3 Female 75
## 230 1809 4 Male 58
## 231 253 4 Female 46
## 232 516 4 Female 46
## 233 361 4 Male 39
## 234 862 1 Female 78
## 235 949 2 Male 65
## 236 1143 4 Female 61
## 237 1244 1 Male 42
## 238 665 1 Female 50
## 239 293 4 Female 90
## 240 1945 2 Male 71
## 241 1630 3 Female 52
## 242 1048 2 Male 66
## 243 582 2 Male 56
## 244 723 2 Male 50
## 245 1993 1 Male 84
## 246 1870 4 Female 77
## 247 518 3 Male 49
## 248 1315 3 Female 55
## 249 940 3 Female 37
## 250 666 3 Female 31
## 251 2055 4 Male 39
## 252 1116 1 Male 35
## 253 1956 4 Male 48
## 254 264 1 Male 65
## 255 1265 3 Female 89
## 256 235 3 Female 100
## 257 647 1 Female 55
## 258 813 4 Female 82
## 259 410 4 Male 88
## 260 1019 2 Male 94
## 261 337 2 Male 73
## 262 1307 3 Female 94
## 263 659 3 Female 81
## 264 1675 4 Female 42
## 265 190 1 Female 41
## 266 1083 1 Male 59
## 267 486 3 Female 98
## 268 1349 3 Female 66
## 269 307 1 Male 76
## 270 1666 3 Male 65
## 271 367 2 Male 64
## 272 35 3 Male 48
## 273 1024 3 Male 78
## 274 916 1 Male 98
## 275 1642 1 Male 37
## 276 2046 4 Female 50
## 277 2068 2 Male 82
## 278 1916 1 Female 62
## 279 1249 1 Female 97
## 280 117 3 Male 99
## 281 1382 4 Male 57
## 282 1371 4 Male 43
## 283 450 4 Female 31
## 284 1175 3 Female 79
## 285 170 3 Female 96
## 286 258 4 Female 98
## 287 896 2 Female 48
## 288 1847 4 Female 73
## 289 1162 4 Male 55
## 290 178 2 Male 84
## 291 1200 3 Male 96
## 292 743 3 Female 81
## 293 1852 4 Male 40
## 294 623 2 Female 59
## 295 848 3 Female 88
## 296 1234 3 Female 77
## 297 1092 1 Male 61
## 298 533 2 Female 83
## 299 655 1 Female 66
## 300 267 2 Male 65
## JobInvolvement JobLevel JobRole JobSatisfaction
## 1 3 2 Sales Executive 4
## 2 3 1 Research Scientist 4
## 3 4 4 Sales Executive 3
## 4 4 1 Laboratory Technician 2
## 5 2 1 Laboratory Technician 1
## 6 3 2 Sales Representative 4
## 7 3 2 Sales Executive 2
## 8 2 1 Laboratory Technician 3
## 9 1 1 Research Scientist 3
## 10 2 4 Manufacturing Director 2
## 11 3 3 Sales Executive 4
## 12 3 1 Laboratory Technician 2
## 13 3 2 Sales Executive 3
## 14 3 2 Sales Executive 4
## 15 2 2 Sales Executive 2
## 16 3 2 Manufacturing Director 3
## 17 1 2 Healthcare Representative 3
## 18 3 2 Manufacturing Director 1
## 19 3 2 Laboratory Technician 4
## 20 3 1 Human Resources 3
## 21 3 2 Research Scientist 4
## 22 3 3 Sales Executive 2
## 23 2 3 Sales Executive 4
## 24 4 2 Sales Executive 4
## 25 3 3 Healthcare Representative 2
## 26 3 3 Manufacturing Director 4
## 27 3 3 Sales Executive 1
## 28 3 4 Manager 3
## 29 3 2 Sales Executive 1
## 30 3 1 Research Scientist 3
## 31 3 1 Laboratory Technician 2
## 32 3 2 Sales Executive 3
## 33 3 2 Sales Executive 3
## 34 3 1 Laboratory Technician 4
## 35 3 4 Manager 4
## 36 3 2 Sales Executive 2
## 37 2 3 Healthcare Representative 1
## 38 3 2 Manufacturing Director 4
## 39 3 1 Laboratory Technician 3
## 40 3 1 Research Scientist 1
## 41 1 5 Research Director 4
## 42 3 1 Human Resources 2
## 43 3 1 Laboratory Technician 1
## 44 2 3 Manager 1
## 45 3 2 Manufacturing Director 3
## 46 3 2 Laboratory Technician 3
## 47 3 1 Research Scientist 1
## 48 3 2 Sales Executive 4
## 49 3 1 Sales Representative 2
## 50 4 1 Laboratory Technician 1
## 51 3 1 Sales Representative 2
## 52 4 1 Laboratory Technician 4
## 53 3 2 Laboratory Technician 3
## 54 4 2 Human Resources 1
## 55 3 4 Manager 3
## 56 4 1 Laboratory Technician 3
## 57 4 2 Sales Executive 4
## 58 1 3 Research Director 3
## 59 4 1 Laboratory Technician 4
## 60 3 1 Laboratory Technician 4
## 61 3 2 Sales Executive 3
## 62 3 3 Research Director 4
## 63 4 3 Sales Executive 1
## 64 2 1 Laboratory Technician 4
## 65 3 1 Laboratory Technician 1
## 66 3 1 Laboratory Technician 1
## 67 3 3 Healthcare Representative 1
## 68 1 3 Manufacturing Director 4
## 69 3 2 Research Scientist 4
## 70 3 1 Sales Representative 2
## 71 3 1 Laboratory Technician 1
## 72 4 3 Sales Executive 3
## 73 3 3 Sales Executive 1
## 74 3 2 Manufacturing Director 4
## 75 2 1 Sales Representative 3
## 76 3 2 Healthcare Representative 4
## 77 3 1 Sales Representative 2
## 78 3 1 Research Scientist 4
## 79 3 1 Human Resources 3
## 80 4 2 Sales Executive 3
## 81 3 1 Research Scientist 3
## 82 3 2 Sales Executive 1
## 83 3 2 Healthcare Representative 2
## 84 3 1 Laboratory Technician 4
## 85 3 2 Laboratory Technician 2
## 86 1 3 Human Resources 3
## 87 1 3 Manufacturing Director 4
## 88 3 1 Laboratory Technician 3
## 89 3 3 Sales Executive 3
## 90 3 5 Research Director 2
## 91 3 1 Research Scientist 4
## 92 3 2 Research Scientist 4
## 93 2 2 Healthcare Representative 1
## 94 4 2 Human Resources 2
## 95 2 1 Research Scientist 4
## 96 2 5 Research Director 3
## 97 2 1 Research Scientist 1
## 98 2 3 Sales Executive 3
## 99 3 4 Manager 1
## 100 3 1 Laboratory Technician 2
## 101 3 2 Sales Executive 4
## 102 3 2 Healthcare Representative 4
## 103 3 1 Laboratory Technician 3
## 104 2 1 Research Scientist 2
## 105 2 2 Manufacturing Director 3
## 106 2 1 Research Scientist 4
## 107 2 2 Healthcare Representative 3
## 108 3 1 Research Scientist 1
## 109 2 3 Manufacturing Director 3
## 110 2 5 Manager 3
## 111 2 1 Sales Representative 3
## 112 2 3 Sales Executive 4
## 113 2 1 Laboratory Technician 4
## 114 2 1 Sales Representative 3
## 115 2 2 Sales Executive 4
## 116 4 1 Research Scientist 3
## 117 2 1 Research Scientist 4
## 118 3 2 Sales Executive 4
## 119 3 3 Manufacturing Director 1
## 120 2 1 Research Scientist 2
## 121 2 2 Human Resources 4
## 122 4 1 Research Scientist 3
## 123 3 2 Human Resources 4
## 124 3 2 Sales Executive 2
## 125 3 2 Sales Executive 4
## 126 3 2 Research Scientist 3
## 127 3 1 Research Scientist 3
## 128 3 4 Research Director 4
## 129 3 3 Sales Executive 4
## 130 3 1 Laboratory Technician 4
## 131 3 2 Human Resources 2
## 132 3 2 Sales Representative 3
## 133 3 2 Research Scientist 2
## 134 3 2 Manufacturing Director 4
## 135 3 1 Research Scientist 1
## 136 2 2 Sales Executive 4
## 137 3 1 Sales Representative 3
## 138 3 2 Healthcare Representative 4
## 139 3 5 Manager 3
## 140 3 2 Sales Representative 3
## 141 3 3 Manufacturing Director 3
## 142 2 2 Research Scientist 2
## 143 2 2 Sales Executive 2
## 144 3 2 Laboratory Technician 1
## 145 2 2 Sales Executive 1
## 146 4 1 Laboratory Technician 2
## 147 2 1 Laboratory Technician 1
## 148 3 3 Sales Executive 2
## 149 3 3 Sales Executive 4
## 150 3 1 Research Scientist 4
## 151 3 2 Sales Executive 2
## 152 3 2 Sales Executive 4
## 153 3 2 Research Scientist 4
## 154 2 3 Healthcare Representative 3
## 155 2 4 Manager 1
## 156 3 5 Manager 4
## 157 2 2 Human Resources 1
## 158 2 2 Sales Executive 4
## 159 3 2 Sales Executive 3
## 160 2 3 Human Resources 1
## 161 3 2 Sales Executive 2
## 162 3 1 Human Resources 4
## 163 2 3 Research Director 4
## 164 2 1 Research Scientist 3
## 165 3 2 Laboratory Technician 3
## 166 3 1 Research Scientist 3
## 167 3 2 Sales Executive 4
## 168 3 3 Human Resources 2
## 169 3 3 Research Director 3
## 170 3 2 Healthcare Representative 3
## 171 2 1 Laboratory Technician 2
## 172 2 1 Research Scientist 1
## 173 2 3 Sales Executive 4
## 174 3 2 Sales Executive 4
## 175 3 1 Research Scientist 3
## 176 2 1 Laboratory Technician 2
## 177 3 2 Manufacturing Director 2
## 178 3 3 Manager 2
## 179 3 1 Research Scientist 3
## 180 1 2 Sales Executive 4
## 181 2 3 Manufacturing Director 4
## 182 3 1 Laboratory Technician 4
## 183 3 2 Healthcare Representative 3
## 184 3 1 Research Scientist 3
## 185 3 1 Research Scientist 4
## 186 3 1 Laboratory Technician 1
## 187 2 2 Manufacturing Director 1
## 188 3 4 Manager 4
## 189 3 2 Human Resources 2
## 190 2 1 Research Scientist 2
## 191 4 2 Research Scientist 3
## 192 4 2 Manufacturing Director 4
## 193 3 2 Healthcare Representative 4
## 194 3 1 Sales Representative 4
## 195 1 2 Healthcare Representative 3
## 196 3 1 Laboratory Technician 1
## 197 3 1 Research Scientist 3
## 198 3 5 Manager 1
## 199 3 2 Sales Executive 1
## 200 3 1 Sales Representative 2
## 201 4 1 Sales Representative 4
## 202 3 2 Manufacturing Director 1
## 203 4 1 Sales Representative 4
## 204 4 2 Healthcare Representative 3
## 205 2 2 Sales Executive 1
## 206 3 4 Manager 1
## 207 3 5 Manager 3
## 208 3 2 Laboratory Technician 3
## 209 3 2 Research Scientist 2
## 210 3 2 Research Scientist 3
## 211 2 1 Research Scientist 3
## 212 1 1 Research Scientist 4
## 213 3 1 Sales Representative 1
## 214 3 2 Sales Executive 3
## 215 2 3 Manufacturing Director 3
## 216 2 3 Sales Executive 1
## 217 3 2 Sales Executive 3
## 218 3 1 Research Scientist 3
## 219 3 1 Research Scientist 4
## 220 2 2 Sales Executive 4
## 221 2 2 Sales Executive 2
## 222 1 2 Sales Executive 4
## 223 3 3 Research Director 4
## 224 2 2 Sales Executive 2
## 225 4 2 Healthcare Representative 1
## 226 3 2 Manufacturing Director 2
## 227 2 1 Research Scientist 1
## 228 2 1 Human Resources 4
## 229 3 1 Laboratory Technician 2
## 230 3 2 Manufacturing Director 1
## 231 3 5 Manager 3
## 232 3 2 Sales Executive 2
## 233 2 2 Sales Executive 4
## 234 2 3 Sales Executive 4
## 235 3 1 Research Scientist 4
## 236 3 1 Research Scientist 2
## 237 3 1 Research Scientist 1
## 238 2 2 Human Resources 3
## 239 3 2 Sales Executive 3
## 240 3 2 Sales Executive 1
## 241 3 2 Healthcare Representative 3
## 242 3 3 Manager 4
## 243 3 3 Manager 3
## 244 3 2 Sales Executive 3
## 245 3 3 Healthcare Representative 3
## 246 2 1 Research Scientist 1
## 247 3 2 Manufacturing Director 2
## 248 1 2 Laboratory Technician 4
## 249 2 3 Healthcare Representative 2
## 250 3 1 Sales Representative 3
## 251 2 3 Sales Executive 1
## 252 4 4 Manager 4
## 253 1 2 Research Scientist 1
## 254 2 4 Manager 4
## 255 4 1 Research Scientist 3
## 256 1 1 Sales Representative 1
## 257 3 1 Laboratory Technician 3
## 258 3 2 Laboratory Technician 3
## 259 3 4 Manager 2
## 260 1 1 Laboratory Technician 1
## 261 3 3 Research Director 3
## 262 2 4 Manager 2
## 263 3 2 Healthcare Representative 4
## 264 2 1 Laboratory Technician 2
## 265 3 1 Laboratory Technician 1
## 266 2 1 Laboratory Technician 1
## 267 3 1 Laboratory Technician 1
## 268 3 2 Sales Executive 1
## 269 3 3 Sales Executive 3
## 270 2 4 Research Director 3
## 271 2 2 Healthcare Representative 4
## 272 3 2 Sales Executive 2
## 273 2 3 Healthcare Representative 3
## 274 3 2 Sales Executive 4
## 275 3 2 Human Resources 4
## 276 3 2 Sales Executive 3
## 277 4 2 Laboratory Technician 3
## 278 4 1 Laboratory Technician 3
## 279 3 1 Research Scientist 4
## 280 2 2 Healthcare Representative 4
## 281 4 1 Research Scientist 3
## 282 1 2 Sales Executive 4
## 283 3 2 Research Scientist 3
## 284 3 1 Laboratory Technician 4
## 285 3 2 Manufacturing Director 1
## 286 3 4 Healthcare Representative 2
## 287 2 1 Sales Representative 3
## 288 3 2 Research Scientist 2
## 289 2 1 Research Scientist 3
## 290 3 2 Manufacturing Director 2
## 291 3 1 Research Scientist 3
## 292 3 3 Manufacturing Director 3
## 293 3 1 Laboratory Technician 4
## 294 3 3 Manufacturing Director 4
## 295 2 1 Research Scientist 3
## 296 2 1 Laboratory Technician 2
## 297 3 3 Healthcare Representative 4
## 298 3 2 Sales Executive 3
## 299 2 1 Research Scientist 3
## 300 4 1 Research Scientist 1
## MaritalStatus MonthlyRate NumCompaniesWorked Over18 OverTime
## 1 Married 19246 1 Y No
## 2 Single 17241 3 Y No
## 3 Single 9277 6 Y Yes
## 4 Married 9238 1 Y No
## 5 Divorced 16290 1 Y No
## 6 Married 3335 3 Y No
## 7 Married 15480 0 Y No
## 8 Single 25308 1 Y No
## 9 Divorced 22310 1 Y No
## 10 Single 24439 3 Y No
## 11 Divorced 15986 4 Y No
## 12 Married 6762 3 Y No
## 13 Married 3487 1 Y No
## 14 Married 24008 0 Y No
## 15 Married 3687 2 Y No
## 16 Married 10022 0 Y Yes
## 17 Divorced 21143 8 Y No
## 18 Divorced 4187 3 Y No
## 19 Divorced 9528 3 Y No
## 20 Single 7108 1 Y No
## 21 Single 22455 1 Y No
## 22 Married 17799 3 Y No
## 23 Single 13596 1 Y No
## 24 Divorced 16673 1 Y Yes
## 25 Divorced 20948 3 Y No
## 26 Divorced 19989 3 Y No
## 27 Single 10092 2 Y Yes
## 28 Married 26582 0 Y Yes
## 29 Single 23553 1 Y No
## 30 Married 11868 4 Y No
## 31 Married 16632 9 Y No
## 32 Married 9282 7 Y No
## 33 Divorced 13693 8 Y No
## 34 Married 4060 8 Y No
## 35 Married 5404 3 Y No
## 36 Married 13401 0 Y No
## 37 Married 3142 2 Y Yes
## 38 Divorced 23177 7 Y No
## 39 Single 11179 1 Y Yes
## 40 Single 15178 1 Y No
## 41 Married 18625 3 Y No
## 42 Married 5224 0 Y Yes
## 43 Married 25605 4 Y No
## 44 Single 5615 2 Y No
## 45 Single 23371 6 Y No
## 46 Single 24812 0 Y No
## 47 Married 12719 1 Y No
## 48 Single 9125 1 Y No
## 49 Married 23384 1 Y No
## 50 Married 9964 4 Y Yes
## 51 Single 18398 0 Y No
## 52 Married 4892 1 Y No
## 53 Divorced 7858 7 Y No
## 54 Married 12858 7 Y No
## 55 Married 18685 3 Y No
## 56 Married 22495 3 Y Yes
## 57 Married 11693 1 Y No
## 58 Married 3376 3 Y No
## 59 Divorced 7324 1 Y Yes
## 60 Single 11864 0 Y No
## 61 Divorced 12313 1 Y Yes
## 62 Single 19373 3 Y No
## 63 Married 19566 1 Y No
## 64 Divorced 13384 9 Y Yes
## 65 Single 13008 1 Y No
## 66 Single 16998 2 Y Yes
## 67 Divorced 12368 7 Y No
## 68 Single 25150 2 Y No
## 69 Single 5340 7 Y No
## 70 Married 3692 1 Y No
## 71 Single 21831 3 Y No
## 72 Married 4658 2 Y No
## 73 Single 2354 7 Y No
## 74 Married 4658 0 Y No
## 75 Single 9724 1 Y No
## 76 Divorced 24483 1 Y No
## 77 Single 4567 1 Y No
## 78 Divorced 3032 1 Y No
## 79 Divorced 22808 0 Y Yes
## 80 Single 10339 4 Y Yes
## 81 Married 6161 3 Y No
## 82 Married 22217 1 Y No
## 83 Single 13848 3 Y No
## 84 Single 19826 0 Y Yes
## 85 Single 8770 9 Y No
## 86 Married 6595 4 Y No
## 87 Single 21698 4 Y No
## 88 Single 11135 9 Y No
## 89 Single 11591 3 Y Yes
## 90 Single 25761 7 Y Yes
## 91 Single 22673 1 Y No
## 92 Divorced 24447 1 Y No
## 93 Divorced 4284 2 Y No
## 94 Married 18767 9 Y No
## 95 Married 26897 1 Y No
## 96 Divorced 16701 5 Y Yes
## 97 Single 8489 1 Y No
## 98 Married 3809 1 Y No
## 99 Married 9490 2 Y No
## 100 Divorced 14180 2 Y Yes
## 101 Single 5099 1 Y No
## 102 Married 17369 0 Y Yes
## 103 Single 6842 0 Y Yes
## 104 Single 11757 1 Y No
## 105 Divorced 24117 1 Y No
## 106 Single 14961 1 Y Yes
## 107 Single 13119 2 Y No
## 108 Single 22154 0 Y No
## 109 Married 23457 1 Y Yes
## 110 Married 12124 2 Y No
## 111 Married 26204 0 Y No
## 112 Married 11563 2 Y Yes
## 113 Single 3300 7 Y No
## 114 Single 21378 0 Y No
## 115 Married 14369 4 Y No
## 116 Single 15318 3 Y Yes
## 117 Married 4223 0 Y Yes
## 118 Married 23343 4 Y No
## 119 Single 5083 1 Y Yes
## 120 Single 7551 0 Y Yes
## 121 Married 7790 8 Y No
## 122 Married 17616 1 Y No
## 123 Married 13982 0 Y Yes
## 124 Married 25440 5 Y No
## 125 Single 19899 1 Y Yes
## 126 Single 12482 1 Y No
## 127 Married 12127 0 Y No
## 128 Single 5652 6 Y No
## 129 Divorced 6812 6 Y No
## 130 Single 18016 1 Y Yes
## 131 Divorced 10425 8 Y Yes
## 132 Single 25751 3 Y No
## 133 Divorced 25518 0 Y No
## 134 Divorced 7389 5 Y No
## 135 Married 16530 8 Y No
## 136 Married 16495 3 Y Yes
## 137 Single 13251 1 Y No
## 138 Divorced 18899 9 Y No
## 139 Divorced 18640 3 Y No
## 140 Married 16047 2 Y Yes
## 141 Divorced 22573 6 Y No
## 142 Divorced 15000 6 Y No
## 143 Married 24624 1 Y Yes
## 144 Married 6208 4 Y No
## 145 Single 22967 5 Y No
## 146 Divorced 5855 5 Y No
## 147 Divorced 8007 0 Y Yes
## 148 Married 11439 1 Y No
## 149 Married 8053 2 Y No
## 150 Single 13493 1 Y No
## 151 Married 16177 0 Y No
## 152 Single 15276 4 Y No
## 153 Divorced 5141 8 Y No
## 154 Married 3395 3 Y No
## 155 Divorced 12888 4 Y No
## 156 Single 15302 2 Y No
## 157 Married 17822 3 Y No
## 158 Single 12090 1 Y Yes
## 159 Single 24785 9 Y No
## 160 Married 2326 9 Y No
## 161 Married 20497 0 Y Yes
## 162 Single 5033 0 Y No
## 163 Divorced 8842 1 Y Yes
## 164 Married 14908 1 Y Yes
## 165 Divorced 23099 3 Y No
## 166 Single 26999 1 Y Yes
## 167 Single 22807 1 Y No
## 168 Married 6729 2 Y No
## 169 Single 7914 7 Y No
## 170 Married 25549 4 Y No
## 171 Single 11652 0 Y No
## 172 Single 3339 3 Y Yes
## 173 Married 12695 0 Y No
## 174 Married 2823 1 Y Yes
## 175 Single 2122 1 Y No
## 176 Divorced 7160 1 Y No
## 177 Married 7653 4 Y No
## 178 Married 23364 6 Y No
## 179 Single 25681 1 Y Yes
## 180 Divorced 22098 6 Y Yes
## 181 Married 14618 0 Y No
## 182 Single 7703 1 Y No
## 183 Divorced 2227 4 Y Yes
## 184 Divorced 9834 5 Y No
## 185 Single 6297 2 Y No
## 186 Married 9396 5 Y No
## 187 Married 9679 5 Y No
## 188 Married 7744 5 Y Yes
## 189 Divorced 12832 2 Y No
## 190 Married 19911 0 Y No
## 191 Married 2721 0 Y No
## 192 Divorced 17000 1 Y No
## 193 Divorced 5335 3 Y No
## 194 Divorced 25103 1 Y Yes
## 195 Divorced 17056 2 Y Yes
## 196 Married 4344 1 Y No
## 197 Married 12549 2 Y No
## 198 Married 3854 5 Y No
## 199 Married 17456 0 Y No
## 200 Married 9983 7 Y No
## 201 Married 6527 8 Y No
## 202 Married 4156 1 Y No
## 203 Single 5050 1 Y No
## 204 Married 9128 3 Y No
## 205 Married 20328 4 Y No
## 206 Married 24097 8 Y No
## 207 Divorced 10735 4 Y No
## 208 Divorced 18624 1 Y No
## 209 Single 26285 4 Y No
## 210 Divorced 12932 2 Y No
## 211 Single 2725 2 Y No
## 212 Married 8952 1 Y No
## 213 Married 26956 1 Y No
## 214 Married 18659 9 Y No
## 215 Single 8787 0 Y No
## 216 Married 23772 5 Y Yes
## 217 Married 20943 1 Y No
## 218 Married 20471 6 Y Yes
## 219 Married 10077 0 Y Yes
## 220 Married 7100 1 Y Yes
## 221 Divorced 11866 1 Y Yes
## 222 Divorced 10436 1 Y No
## 223 Divorced 10056 1 Y Yes
## 224 Divorced 11591 7 Y No
## 225 Divorced 18384 1 Y No
## 226 Married 15701 6 Y No
## 227 Married 18697 2 Y No
## 228 Divorced 9732 6 Y No
## 229 Married 3956 1 Y No
## 230 Single 4992 1 Y No
## 231 Married 6499 1 Y No
## 232 Divorced 22553 7 Y No
## 233 Married 19682 3 Y No
## 234 Married 20715 7 Y Yes
## 235 Single 23293 2 Y No
## 236 Divorced 17940 0 Y No
## 237 Married 14377 1 Y Yes
## 238 Single 26894 4 Y No
## 239 Single 12916 1 Y No
## 240 Married 15975 0 Y No
## 241 Married 12250 1 Y No
## 242 Married 11038 3 Y Yes
## 243 Married 24619 7 Y Yes
## 244 Married 23452 3 Y Yes
## 245 Single 13084 2 Y No
## 246 Married 23844 0 Y No
## 247 Single 21123 2 Y Yes
## 248 Married 16392 0 Y No
## 249 Divorced 9255 2 Y Yes
## 250 Divorced 2912 1 Y Yes
## 251 Divorced 16586 4 Y Yes
## 252 Single 16154 2 Y No
## 253 Married 5771 1 Y No
## 254 Married 20462 9 Y No
## 255 Married 21643 0 Y No
## 256 Single 20989 0 Y No
## 257 Married 14168 1 Y Yes
## 258 Married 21821 8 Y No
## 259 Single 15896 1 Y No
## 260 Married 6881 1 Y No
## 261 Divorced 13523 9 Y No
## 262 Divorced 17334 6 Y Yes
## 263 Married 5718 1 Y No
## 264 Single 23826 1 Y No
## 265 Single 10224 7 Y No
## 266 Married 11141 1 Y No
## 267 Married 17663 6 Y No
## 268 Divorced 4297 0 Y No
## 269 Divorced 9647 0 Y No
## 270 Married 3525 1 Y No
## 271 Married 14408 0 Y No
## 272 Married 21173 0 Y No
## 273 Single 22245 7 Y No
## 274 Single 24252 1 Y No
## 275 Married 10503 4 Y Yes
## 276 Single 23333 8 Y No
## 277 Married 10228 2 Y No
## 278 Divorced 16031 8 Y No
## 279 Divorced 5598 1 Y No
## 280 Married 15830 1 Y No
## 281 Divorced 15748 1 Y No
## 282 Single 20392 3 Y No
## 283 Single 16885 3 Y No
## 284 Married 22955 1 Y Yes
## 285 Married 5549 1 Y No
## 286 Single 7192 3 Y No
## 287 Divorced 23522 6 Y Yes
## 288 Married 19573 4 Y Yes
## 289 Married 7950 1 Y No
## 290 Divorced 2819 6 Y No
## 291 Single 10826 1 Y Yes
## 292 Single 15397 4 Y Yes
## 293 Married 7003 1 Y No
## 294 Single 23848 4 Y No
## 295 Married 20898 1 Y Yes
## 296 Married 7331 1 Y No
## 297 Married 26542 4 Y No
## 298 Single 19558 0 Y No
## 299 Divorced 5013 0 Y No
## 300 Married 22977 1 Y Yes
## PercentSalaryHike PerformanceRating RelationshipSatisfaction
## 1 20 4 3
## 2 18 3 1
## 3 17 3 3
## 4 22 4 2
## 5 11 3 1
## 6 14 3 3
## 7 13 3 1
## 8 20 4 3
## 9 25 4 3
## 10 16 3 2
## 11 11 3 1
## 12 22 4 3
## 13 14 3 1
## 14 19 3 2
## 15 19 3 2
## 16 19 3 1
## 17 17 3 4
## 18 14 3 3
## 19 22 4 4
## 20 17 3 2
## 21 13 3 3
## 22 12 3 2
## 23 16 3 4
## 24 20 4 2
## 25 14 3 2
## 26 14 3 3
## 27 20 4 3
## 28 13 3 4
## 29 12 3 4
## 30 13 3 2
## 31 12 3 4
## 32 12 3 3
## 33 14 3 3
## 34 19 3 3
## 35 13 3 2
## 36 17 3 3
## 37 13 3 3
## 38 16 3 3
## 39 13 3 3
## 40 13 3 4
## 41 14 3 2
## 42 11 3 2
## 43 17 3 4
## 44 12 3 4
## 45 14 3 2
## 46 14 3 2
## 47 25 4 3
## 48 13 3 1
## 49 22 4 2
## 50 20 4 1
## 51 14 3 1
## 52 19 3 4
## 53 14 3 2
## 54 16 3 1
## 55 25 4 3
## 56 13 3 3
## 57 15 3 3
## 58 12 3 1
## 59 13 3 2
## 60 13 3 3
## 61 14 3 3
## 62 15 3 4
## 63 16 3 3
## 64 14 3 4
## 65 19 3 2
## 66 11 3 3
## 67 16 3 3
## 68 15 3 4
## 69 13 3 1
## 70 19 3 4
## 71 14 3 2
## 72 11 3 1
## 73 11 3 4
## 74 18 3 2
## 75 12 3 1
## 76 19 3 4
## 77 13 3 2
## 78 22 4 2
## 79 11 3 2
## 80 12 3 4
## 81 22 4 2
## 82 14 3 2
## 83 15 3 1
## 84 14 3 3
## 85 15 3 3
## 86 21 4 3
## 87 11 3 1
## 88 12 3 2
## 89 16 3 4
## 90 12 3 4
## 91 19 3 1
## 92 17 3 1
## 93 15 3 3
## 94 15 3 3
## 95 11 3 3
## 96 12 3 4
## 97 14 3 2
## 98 13 3 2
## 99 22 4 3
## 100 13 3 4
## 101 14 3 1
## 102 11 3 3
## 103 11 3 3
## 104 13 3 4
## 105 15 3 2
## 106 13 3 3
## 107 13 3 4
## 108 13 3 1
## 109 20 4 2
## 110 13 3 3
## 111 23 4 1
## 112 19 3 3
## 113 15 3 2
## 114 18 3 4
## 115 13 3 1
## 116 14 3 1
## 117 11 3 2
## 118 12 3 3
## 119 13 3 3
## 120 16 3 4
## 121 11 3 3
## 122 16 3 4
## 123 19 3 4
## 124 12 3 4
## 125 13 3 2
## 126 14 3 3
## 127 17 3 2
## 128 19 3 4
## 129 13 3 2
## 130 24 4 3
## 131 22 4 4
## 132 19 3 1
## 133 13 3 3
## 134 13 3 3
## 135 12 3 4
## 136 12 3 3
## 137 19 3 1
## 138 14 3 2
## 139 18 3 2
## 140 20 4 4
## 141 11 3 2
## 142 15 3 3
## 143 11 3 4
## 144 17 3 3
## 145 15 3 3
## 146 12 3 3
## 147 11 3 3
## 148 13 3 1
## 149 12 3 3
## 150 15 3 4
## 151 19 3 2
## 152 15 3 2
## 153 14 3 2
## 154 23 4 4
## 155 13 3 2
## 156 13 3 3
## 157 12 3 4
## 158 11 3 2
## 159 14 3 1
## 160 14 3 4
## 161 13 3 1
## 162 13 3 2
## 163 16 3 2
## 164 13 3 3
## 165 11 3 3
## 166 11 3 4
## 167 23 4 2
## 168 15 3 3
## 169 21 4 3
## 170 12 3 1
## 171 11 3 2
## 172 11 3 2
## 173 19 3 3
## 174 14 3 4
## 175 14 3 3
## 176 15 3 1
## 177 11 3 1
## 178 11 3 2
## 179 13 3 4
## 180 14 3 4
## 181 16 3 2
## 182 13 3 1
## 183 14 3 4
## 184 18 3 2
## 185 13 3 3
## 186 13 3 3
## 187 19 3 3
## 188 22 4 3
## 189 13 3 3
## 190 17 3 1
## 191 24 4 1
## 192 13 3 1
## 193 23 4 3
## 194 21 4 2
## 195 13 3 4
## 196 14 3 4
## 197 14 3 2
## 198 11 3 4
## 199 14 3 1
## 200 15 3 4
## 201 14 3 2
## 202 12 3 2
## 203 17 3 4
## 204 16 3 3
## 205 16 3 3
## 206 23 4 1
## 207 11 3 4
## 208 11 3 1
## 209 12 3 4
## 210 11 3 2
## 211 14 3 4
## 212 12 3 4
## 213 19 3 1
## 214 11 3 3
## 215 21 4 2
## 216 21 4 3
## 217 19 3 3
## 218 13 3 2
## 219 12 3 3
## 220 11 3 4
## 221 14 3 1
## 222 24 4 1
## 223 14 3 3
## 224 12 3 2
## 225 12 3 4
## 226 12 3 2
## 227 14 3 1
## 228 11 3 3
## 229 13 3 3
## 230 15 3 2
## 231 14 3 2
## 232 12 3 3
## 233 18 3 4
## 234 18 3 4
## 235 18 3 3
## 236 14 3 4
## 237 14 3 4
## 238 11 3 2
## 239 14 3 4
## 240 16 3 4
## 241 12 3 4
## 242 14 3 3
## 243 12 3 4
## 244 14 3 1
## 245 23 4 2
## 246 19 3 4
## 247 12 3 4
## 248 11 3 1
## 249 13 3 4
## 250 18 3 4
## 251 13 3 2
## 252 22 4 3
## 253 21 4 2
## 254 23 4 4
## 255 17 3 4
## 256 21 4 1
## 257 16 3 4
## 258 20 4 2
## 259 19 3 2
## 260 15 3 1
## 261 12 3 1
## 262 13 3 4
## 263 13 3 2
## 264 22 4 2
## 265 22 4 1
## 266 16 3 1
## 267 20 4 2
## 268 17 3 4
## 269 12 3 3
## 270 24 4 1
## 271 21 4 2
## 272 11 3 4
## 273 14 3 2
## 274 14 3 2
## 275 11 3 3
## 276 15 3 3
## 277 12 3 1
## 278 12 3 2
## 279 15 3 1
## 280 19 3 1
## 281 11 3 4
## 282 20 4 2
## 283 12 3 4
## 284 11 3 4
## 285 14 3 3
## 286 18 3 3
## 287 19 3 3
## 288 22 4 4
## 289 13 3 3
## 290 20 4 4
## 291 11 3 3
## 292 14 3 4
## 293 13 3 2
## 294 17 3 4
## 295 14 3 1
## 296 20 4 3
## 297 20 4 4
## 298 11 3 2
## 299 12 3 3
## 300 12 3 1
## StandardHours StockOptionLevel TotalWorkingYears TrainingTimesLastYear
## 1 80 1 7 5
## 2 80 0 5 4
## 3 80 0 24 2
## 4 80 0 5 3
## 5 80 2 7 3
## 6 80 1 19 6
## 7 80 1 8 2
## 8 80 0 2 2
## 9 80 3 10 2
## 10 80 0 29 1
## 11 80 1 28 1
## 12 80 1 7 3
## 13 80 1 6 5
## 14 80 1 5 3
## 15 80 2 10 2
## 16 80 1 4 3
## 17 80 2 11 3
## 18 80 1 7 3
## 19 80 1 10 3
## 20 80 0 6 2
## 21 80 0 9 4
## 22 80 1 9 3
## 23 80 0 9 3
## 24 80 2 6 3
## 25 80 2 29 3
## 26 80 1 12 4
## 27 80 0 11 2
## 28 80 0 21 3
## 29 80 0 10 6
## 30 80 1 6 3
## 31 80 1 6 3
## 32 80 1 11 4
## 33 80 1 18 2
## 34 80 2 8 3
## 35 80 1 26 4
## 36 80 1 4 3
## 37 80 1 21 5
## 38 80 2 8 2
## 39 80 0 2 3
## 40 80 0 1 2
## 41 80 1 25 2
## 42 80 1 7 2
## 43 80 1 7 5
## 44 80 0 14 6
## 45 80 0 8 6
## 46 80 0 5 2
## 47 80 1 3 3
## 48 80 0 5 4
## 49 80 0 1 5
## 50 80 3 12 3
## 51 80 0 4 3
## 52 80 0 1 2
## 53 80 1 9 3
## 54 80 1 10 3
## 55 80 1 36 6
## 56 80 1 10 3
## 57 80 2 10 4
## 58 80 1 20 3
## 59 80 2 1 2
## 60 80 0 8 2
## 61 80 1 15 3
## 62 80 0 10 6
## 63 80 1 10 2
## 64 80 1 3 3
## 65 80 0 1 2
## 66 80 0 4 2
## 67 80 1 17 3
## 68 80 0 18 2
## 69 80 0 18 2
## 70 80 1 1 3
## 71 80 0 15 3
## 72 80 1 11 3
## 73 80 0 28 3
## 74 80 1 4 2
## 75 80 0 0 2
## 76 80 1 6 0
## 77 80 0 1 3
## 78 80 2 3 3
## 79 80 1 8 2
## 80 80 0 8 2
## 81 80 2 10 1
## 82 80 1 8 3
## 83 80 0 8 3
## 84 80 0 6 3
## 85 80 0 9 2
## 86 80 2 9 2
## 87 80 0 37 3
## 88 80 0 10 2
## 89 80 0 21 2
## 90 80 0 40 2
## 91 80 0 6 1
## 92 80 2 9 3
## 93 80 1 13 3
## 94 80 1 12 3
## 95 80 2 2 2
## 96 80 1 29 2
## 97 80 0 5 3
## 98 80 2 10 2
## 99 80 1 32 3
## 100 80 1 5 2
## 101 80 0 7 5
## 102 80 2 10 2
## 103 80 0 5 2
## 104 80 0 1 0
## 105 80 2 5 6
## 106 80 0 4 3
## 107 80 0 19 0
## 108 80 0 6 2
## 109 80 1 17 2
## 110 80 1 23 2
## 111 80 2 6 5
## 112 80 1 15 3
## 113 80 0 6 3
## 114 80 0 5 2
## 115 80 1 8 2
## 116 80 0 8 2
## 117 80 1 1 5
## 118 80 1 7 3
## 119 80 0 21 2
## 120 80 0 3 5
## 121 80 2 13 2
## 122 80 1 5 1
## 123 80 0 12 2
## 124 80 3 5 2
## 125 80 0 6 1
## 126 80 0 16 3
## 127 80 1 3 0
## 128 80 0 29 3
## 129 80 1 12 2
## 130 80 0 1 2
## 131 80 1 16 2
## 132 80 0 5 3
## 133 80 2 10 4
## 134 80 3 20 2
## 135 80 1 10 3
## 136 80 0 9 3
## 137 80 0 2 3
## 138 80 1 10 2
## 139 80 1 26 6
## 140 80 1 13 3
## 141 80 2 17 5
## 142 80 1 12 3
## 143 80 0 13 2
## 144 80 1 11 3
## 145 80 0 9 5
## 146 80 1 8 0
## 147 80 1 10 4
## 148 80 2 10 3
## 149 80 1 12 2
## 150 80 0 0 2
## 151 80 1 9 3
## 152 80 0 7 6
## 153 80 3 7 2
## 154 80 1 25 3
## 155 80 1 21 2
## 156 80 0 21 3
## 157 80 0 9 1
## 158 80 0 5 3
## 159 80 0 4 3
## 160 80 1 24 1
## 161 80 3 4 3
## 162 80 0 10 5
## 163 80 1 9 3
## 164 80 1 1 3
## 165 80 2 11 2
## 166 80 0 1 5
## 167 80 0 6 5
## 168 80 1 16 1
## 169 80 0 9 3
## 170 80 1 11 3
## 171 80 0 6 2
## 172 80 0 6 1
## 173 80 2 10 2
## 174 80 1 18 1
## 175 80 0 5 3
## 176 80 2 1 2
## 177 80 2 7 2
## 178 80 2 12 2
## 179 80 0 8 2
## 180 80 2 7 2
## 181 80 1 34 4
## 182 80 0 8 2
## 183 80 0 8 3
## 184 80 1 6 2
## 185 80 0 6 0
## 186 80 1 6 5
## 187 80 1 6 1
## 188 80 1 22 3
## 189 80 0 19 4
## 190 80 0 6 2
## 191 80 1 13 2
## 192 80 1 9 3
## 193 80 1 15 2
## 194 80 1 3 2
## 195 80 1 12 2
## 196 80 1 5 2
## 197 80 3 20 2
## 198 80 0 33 5
## 199 80 2 5 2
## 200 80 1 4 2
## 201 80 1 5 4
## 202 80 1 13 5
## 203 80 0 2 2
## 204 80 1 10 3
## 205 80 1 6 3
## 206 80 0 28 2
## 207 80 1 26 3
## 208 80 1 10 2
## 209 80 0 10 2
## 210 80 1 19 3
## 211 80 0 8 2
## 212 80 1 4 5
## 213 80 1 1 3
## 214 80 0 15 2
## 215 80 0 10 2
## 216 80 1 20 2
## 217 80 1 6 3
## 218 80 1 6 0
## 219 80 1 6 4
## 220 80 0 6 3
## 221 80 2 7 2
## 222 80 1 15 4
## 223 80 3 10 1
## 224 80 1 7 2
## 225 80 2 6 2
## 226 80 1 8 2
## 227 80 1 17 2
## 228 80 1 6 0
## 229 80 1 8 4
## 230 80 0 10 4
## 231 80 1 21 2
## 232 80 2 8 5
## 233 80 1 13 0
## 234 80 1 35 3
## 235 80 0 8 6
## 236 80 2 8 2
## 237 80 2 9 3
## 238 80 0 10 1
## 239 80 0 7 2
## 240 80 1 6 2
## 241 80 1 15 5
## 242 80 1 14 1
## 243 80 0 15 2
## 244 80 1 18 4
## 245 80 0 25 3
## 246 80 1 8 2
## 247 80 0 18 2
## 248 80 3 10 6
## 249 80 1 24 3
## 250 80 2 8 3
## 251 80 1 20 3
## 252 80 0 27 3
## 253 80 0 10 6
## 254 80 1 22 1
## 255 80 0 2 5
## 256 80 0 1 5
## 257 80 1 6 4
## 258 80 1 9 3
## 259 80 0 22 2
## 260 80 1 4 3
## 261 80 1 9 3
## 262 80 2 21 4
## 263 80 2 10 4
## 264 80 0 4 3
## 265 80 0 10 2
## 266 80 2 6 2
## 267 80 1 17 3
## 268 80 1 10 2
## 269 80 2 17 6
## 270 80 1 14 3
## 271 80 1 10 2
## 272 80 1 10 2
## 273 80 0 27 3
## 274 80 0 4 3
## 275 80 0 14 3
## 276 80 0 8 3
## 277 80 0 6 3
## 278 80 1 4 0
## 279 80 3 3 5
## 280 80 3 11 3
## 281 80 3 4 2
## 282 80 0 8 3
## 283 80 0 20 4
## 284 80 0 1 4
## 285 80 0 16 2
## 286 80 0 21 6
## 287 80 3 5 3
## 288 80 1 15 2
## 289 80 1 4 0
## 290 80 2 7 0
## 291 80 0 6 4
## 292 80 0 10 4
## 293 80 0 11 3
## 294 80 0 12 3
## 295 80 1 8 2
## 296 80 1 2 2
## 297 80 1 14 6
## 298 80 0 6 6
## 299 80 2 6 5
## 300 80 1 8 3
## WorkLifeBalance YearsAtCompany YearsInCurrentRole
## 1 3 7 7
## 2 3 3 2
## 3 2 19 7
## 4 3 5 4
## 5 3 7 7
## 6 4 1 0
## 7 4 7 7
## 8 1 2 2
## 9 2 10 7
## 10 2 5 2
## 11 4 7 7
## 12 3 4 2
## 13 2 6 0
## 14 3 4 2
## 15 3 0 0
## 16 4 3 2
## 17 3 7 0
## 18 3 0 0
## 19 2 7 7
## 20 1 5 4
## 21 3 9 8
## 22 3 4 2
## 23 3 9 8
## 24 3 6 5
## 25 3 8 7
## 26 2 9 8
## 27 2 0 0
## 28 2 20 8
## 29 4 10 8
## 30 3 2 2
## 31 3 2 2
## 32 2 1 0
## 33 3 8 7
## 34 2 1 0
## 35 4 9 3
## 36 3 3 2
## 37 2 10 9
## 38 2 6 2
## 39 2 2 2
## 40 3 1 0
## 41 3 8 7
## 42 3 6 2
## 43 2 4 3
## 44 3 11 10
## 45 3 2 2
## 46 3 4 3
## 47 3 3 2
## 48 3 5 3
## 49 3 1 0
## 50 2 1 0
## 51 3 3 2
## 52 3 1 0
## 53 2 1 0
## 54 4 4 3
## 55 3 10 8
## 56 3 7 7
## 57 4 10 7
## 58 3 18 16
## 59 2 1 0
## 60 2 7 7
## 61 3 15 14
## 62 3 7 7
## 63 3 10 7
## 64 2 1 0
## 65 3 1 0
## 66 2 0 0
## 67 3 4 2
## 68 3 4 2
## 69 3 7 7
## 70 3 1 0
## 71 1 5 4
## 72 3 7 6
## 73 2 21 16
## 74 3 3 2
## 75 3 0 0
## 76 4 6 4
## 77 3 1 0
## 78 1 3 2
## 79 2 7 7
## 80 3 5 4
## 81 2 6 3
## 82 2 7 7
## 83 2 4 3
## 84 2 5 4
## 85 2 5 4
## 86 4 5 0
## 87 2 6 4
## 88 3 8 7
## 89 3 2 0
## 90 3 31 15
## 91 3 6 5
## 92 3 9 8
## 93 2 4 3
## 94 1 8 3
## 95 3 2 2
## 96 2 27 3
## 97 1 5 4
## 98 3 10 9
## 99 3 2 2
## 100 3 3 2
## 101 3 7 7
## 102 1 9 7
## 103 2 4 2
## 104 4 1 0
## 105 3 4 2
## 106 2 4 3
## 107 3 2 2
## 108 3 5 2
## 109 3 17 14
## 110 4 1 0
## 111 3 5 3
## 112 3 3 2
## 113 2 2 2
## 114 3 4 2
## 115 2 6 3
## 116 3 4 1
## 117 3 0 0
## 118 2 4 3
## 119 3 21 6
## 120 3 2 2
## 121 3 5 4
## 122 3 5 3
## 123 1 11 9
## 124 3 0 0
## 125 3 5 3
## 126 3 16 13
## 127 2 2 1
## 128 2 20 7
## 129 3 10 9
## 130 1 1 0
## 131 3 4 2
## 132 3 0 0
## 133 2 9 5
## 134 3 5 0
## 135 2 8 2
## 136 2 4 2
## 137 3 2 2
## 138 3 2 2
## 139 3 7 7
## 140 1 7 7
## 141 3 1 0
## 142 3 1 0
## 143 3 13 12
## 144 2 7 1
## 145 2 6 3
## 146 3 6 4
## 147 3 9 6
## 148 3 10 8
## 149 3 10 9
## 150 3 0 0
## 151 4 8 7
## 152 3 1 0
## 153 3 2 2
## 154 2 23 15
## 155 2 7 6
## 156 2 6 0
## 157 3 2 2
## 158 3 5 4
## 159 3 2 2
## 160 3 20 6
## 161 2 3 2
## 162 3 9 7
## 163 3 9 8
## 164 2 1 0
## 165 4 8 7
## 166 3 1 0
## 167 2 6 5
## 168 4 9 7
## 169 3 4 3
## 170 2 8 7
## 171 4 5 4
## 172 3 3 2
## 173 3 9 7
## 174 2 18 14
## 175 2 5 3
## 176 3 1 0
## 177 3 5 2
## 178 3 10 6
## 179 3 8 2
## 180 2 2 2
## 181 3 33 7
## 182 3 8 1
## 183 3 5 2
## 184 3 2 2
## 185 2 4 2
## 186 3 2 2
## 187 3 2 2
## 188 3 17 13
## 189 2 10 0
## 190 1 5 3
## 191 2 12 9
## 192 3 9 7
## 193 1 13 11
## 194 3 3 2
## 195 3 5 3
## 196 4 4 3
## 197 3 5 3
## 198 1 29 8
## 199 3 4 3
## 200 3 2 2
## 201 3 1 0
## 202 1 13 10
## 203 3 2 1
## 204 3 7 0
## 205 3 0 0
## 206 3 26 15
## 207 2 14 13
## 208 3 10 8
## 209 3 8 0
## 210 3 5 4
## 211 3 2 2
## 212 3 4 3
## 213 2 1 0
## 214 3 11 9
## 215 3 9 7
## 216 3 18 13
## 217 3 5 2
## 218 1 1 0
## 219 3 5 2
## 220 3 6 2
## 221 3 7 7
## 222 2 15 12
## 223 3 10 8
## 224 4 5 1
## 225 3 6 3
## 226 2 6 5
## 227 2 3 1
## 228 2 4 2
## 229 3 8 0
## 230 1 10 3
## 231 3 20 8
## 232 3 5 4
## 233 3 8 7
## 234 3 5 2
## 235 3 6 2
## 236 2 7 5
## 237 2 9 7
## 238 4 2 2
## 239 3 7 7
## 240 1 5 3
## 241 3 14 11
## 242 1 6 4
## 243 4 7 6
## 244 3 4 3
## 245 3 17 14
## 246 2 7 6
## 247 2 1 0
## 248 3 9 8
## 249 3 6 0
## 250 3 8 2
## 251 3 3 2
## 252 2 5 4
## 253 3 10 8
## 254 3 20 8
## 255 2 1 0
## 256 4 0 0
## 257 3 6 3
## 258 3 5 2
## 259 3 22 10
## 260 2 4 3
## 261 3 2 2
## 262 3 19 9
## 263 3 10 2
## 264 3 4 3
## 265 4 5 4
## 266 3 5 3
## 267 3 5 4
## 268 3 9 3
## 269 2 16 10
## 270 3 14 10
## 271 3 9 0
## 272 3 9 7
## 273 3 15 11
## 274 3 4 2
## 275 3 10 7
## 276 3 5 3
## 277 4 4 3
## 278 2 2 2
## 279 3 3 2
## 280 3 11 10
## 281 3 4 2
## 282 3 6 2
## 283 2 4 3
## 284 2 1 1
## 285 2 15 11
## 286 3 7 7
## 287 3 3 2
## 288 3 1 0
## 289 3 4 2
## 290 3 3 2
## 291 3 6 4
## 292 4 1 0
## 293 4 11 8
## 294 4 6 5
## 295 3 8 7
## 296 3 2 2
## 297 3 11 10
## 298 3 5 4
## 299 2 5 3
## 300 2 8 7
## YearsSinceLastPromotion YearsWithCurrManager
## 1 7 7
## 2 0 2
## 3 3 8
## 4 0 2
## 5 0 7
## 6 0 0
## 7 0 7
## 8 2 2
## 9 0 9
## 10 0 3
## 11 4 3
## 12 0 3
## 13 1 2
## 14 1 1
## 15 0 0
## 16 0 2
## 17 1 6
## 18 0 0
## 19 1 7
## 20 1 4
## 21 8 8
## 22 1 3
## 23 4 7
## 24 0 4
## 25 0 7
## 26 4 7
## 27 0 0
## 28 2 10
## 29 9 6
## 30 2 2
## 31 2 2
## 32 0 0
## 33 7 7
## 34 0 0
## 35 1 1
## 36 0 2
## 37 9 5
## 38 0 4
## 39 2 2
## 40 0 0
## 41 0 7
## 42 1 2
## 43 0 2
## 44 5 8
## 45 2 1
## 46 1 2
## 47 1 2
## 48 1 2
## 49 0 0
## 50 0 0
## 51 1 2
## 52 0 1
## 53 0 0
## 54 0 3
## 55 4 7
## 56 1 7
## 57 0 8
## 58 1 11
## 59 0 0
## 60 3 6
## 61 0 7
## 62 7 7
## 63 0 7
## 64 0 0
## 65 0 0
## 66 0 0
## 67 0 3
## 68 0 3
## 69 1 7
## 70 0 0
## 71 1 0
## 72 7 6
## 73 7 9
## 74 2 2
## 75 0 0
## 76 1 3
## 77 1 0
## 78 0 2
## 79 1 0
## 80 1 3
## 81 3 3
## 82 7 5
## 83 0 1
## 84 0 2
## 85 0 3
## 86 0 3
## 87 0 2
## 88 7 7
## 89 0 2
## 90 13 8
## 91 1 5
## 92 4 7
## 93 1 2
## 94 3 6
## 95 2 1
## 96 13 8
## 97 0 4
## 98 9 0
## 99 2 2
## 100 0 2
## 101 0 7
## 102 8 5
## 103 0 2
## 104 0 0
## 105 3 2
## 106 0 1
## 107 2 2
## 108 0 3
## 109 5 15
## 110 0 0
## 111 4 2
## 112 1 2
## 113 2 2
## 114 0 0
## 115 0 0
## 116 0 3
## 117 0 0
## 118 0 3
## 119 2 8
## 120 2 2
## 121 0 4
## 122 0 4
## 123 4 7
## 124 0 0
## 125 1 3
## 126 2 10
## 127 0 2
## 128 12 7
## 129 0 8
## 130 0 1
## 131 0 2
## 132 0 0
## 133 1 6
## 134 0 4
## 135 7 6
## 136 0 1
## 137 2 2
## 138 1 2
## 139 4 7
## 140 4 5
## 141 0 0
## 142 0 0
## 143 11 9
## 144 0 7
## 145 0 1
## 146 0 2
## 147 7 8
## 148 0 6
## 149 7 4
## 150 0 0
## 151 3 7
## 152 0 0
## 153 2 2
## 154 14 4
## 155 7 7
## 156 1 3
## 157 1 0
## 158 1 3
## 159 2 0
## 160 3 6
## 161 1 2
## 162 1 8
## 163 0 8
## 164 1 0
## 165 0 7
## 166 1 1
## 167 1 4
## 168 7 1
## 169 2 2
## 170 1 1
## 171 1 4
## 172 0 2
## 173 3 4
## 174 4 11
## 175 1 4
## 176 0 0
## 177 1 4
## 178 8 8
## 179 7 7
## 180 2 2
## 181 1 9
## 182 1 7
## 183 0 2
## 184 2 2
## 185 1 2
## 186 0 2
## 187 2 0
## 188 1 9
## 189 4 7
## 190 0 4
## 191 2 8
## 192 7 2
## 193 4 7
## 194 0 2
## 195 1 2
## 196 0 2
## 197 0 2
## 198 11 10
## 199 0 3
## 200 2 2
## 201 0 0
## 202 3 12
## 203 2 2
## 204 1 7
## 205 0 0
## 206 15 9
## 207 4 8
## 208 0 2
## 209 7 7
## 210 0 2
## 211 2 2
## 212 1 1
## 213 1 0
## 214 6 9
## 215 1 8
## 216 1 12
## 217 0 2
## 218 0 1
## 219 0 3
## 220 4 4
## 221 1 7
## 222 11 11
## 223 0 7
## 224 1 3
## 225 1 5
## 226 4 3
## 227 0 2
## 228 1 2
## 229 0 7
## 230 0 8
## 231 9 9
## 232 1 3
## 233 7 5
## 234 0 4
## 235 0 1
## 236 1 1
## 237 6 8
## 238 0 2
## 239 0 7
## 240 0 4
## 241 2 9
## 242 0 4
## 243 7 7
## 244 1 3
## 245 12 11
## 246 7 3
## 247 0 1
## 248 7 5
## 249 0 4
## 250 0 6
## 251 2 0
## 252 2 1
## 253 8 7
## 254 11 8
## 255 0 0
## 256 0 0
## 257 1 2
## 258 1 4
## 259 0 4
## 260 1 1
## 261 2 2
## 262 15 2
## 263 2 2
## 264 3 3
## 265 0 4
## 266 1 3
## 267 0 3
## 268 1 7
## 269 5 13
## 270 6 11
## 271 7 8
## 272 4 2
## 273 4 8
## 274 0 2
## 275 0 2
## 276 0 1
## 277 1 2
## 278 2 2
## 279 1 2
## 280 10 8
## 281 0 3
## 282 0 0
## 283 0 3
## 284 0 0
## 285 5 11
## 286 1 0
## 287 0 2
## 288 0 0
## 289 2 2
## 290 0 1
## 291 0 2
## 292 0 0
## 293 3 10
## 294 1 2
## 295 1 7
## 296 2 2
## 297 11 1
## 298 4 4
## 299 0 3
## 300 1 7
#Packages Used
library(tidyverse)
## -- Attaching packages ---------------------------------------------------------------------------------------------------------------- tidyverse 1.2.1 --
## v ggplot2 3.2.1 v purrr 0.3.3
## v tibble 2.1.3 v dplyr 0.8.3
## v tidyr 1.0.0 v stringr 1.4.0
## v readr 1.3.1 v forcats 0.4.0
## -- Conflicts ------------------------------------------------------------------------------------------------------------------- tidyverse_conflicts() --
## x dplyr::filter() masks stats::filter()
## x dplyr::lag() masks stats::lag()
library(dplyr)
library(ggplot2)
library(GGally)
## Registered S3 method overwritten by 'GGally':
## method from
## +.gg ggplot2
##
## Attaching package: 'GGally'
## The following object is masked from 'package:dplyr':
##
## nasa
library(ggthemes)
library(doBy)
library(e1071)
library(kableExtra)
##
## Attaching package: 'kableExtra'
## The following object is masked from 'package:dplyr':
##
## group_rows
library(knitr)
library(mlbench)
library(maps)
##
## Attaching package: 'maps'
## The following object is masked from 'package:purrr':
##
## map
library(openintro)
## Please visit openintro.org for free statistics materials
##
## Attaching package: 'openintro'
## The following object is masked from 'package:ggplot2':
##
## diamonds
## The following objects are masked from 'package:datasets':
##
## cars, trees
library(stringr)
library(usmap)
library(ggplot2)
library(class)
library(e1071)
library(caret)
## Loading required package: lattice
##
## Attaching package: 'lattice'
## The following object is masked from 'package:openintro':
##
## lsegments
##
## Attaching package: 'caret'
## The following object is masked from 'package:openintro':
##
## dotPlot
## The following object is masked from 'package:purrr':
##
## lift
library(mlbench)
library(caret)
library(mlr)
## Loading required package: ParamHelpers
##
## Attaching package: 'mlr'
## The following object is masked from 'package:caret':
##
## train
## The following object is masked from 'package:openintro':
##
## bac
## The following object is masked from 'package:e1071':
##
## impute
library(gplots)
##
## Attaching package: 'gplots'
## The following object is masked from 'package:stats':
##
## lowess
library(randomForest)
## randomForest 4.6-14
## Type rfNews() to see new features/changes/bug fixes.
##
## Attaching package: 'randomForest'
## The following object is masked from 'package:dplyr':
##
## combine
## The following object is masked from 'package:ggplot2':
##
## margin
library(plyr)
## -------------------------------------------------------------------------
## You have loaded plyr after dplyr - this is likely to cause problems.
## If you need functions from both plyr and dplyr, please load plyr first, then dplyr:
## library(plyr); library(dplyr)
## -------------------------------------------------------------------------
##
## Attaching package: 'plyr'
## The following object is masked from 'package:maps':
##
## ozone
## The following objects are masked from 'package:dplyr':
##
## arrange, count, desc, failwith, id, mutate, rename, summarise,
## summarize
## The following object is masked from 'package:purrr':
##
## compact
library(corrplot)
## corrplot 0.84 loaded
library(purrr)
library(skimr)
##
## Attaching package: 'skimr'
## The following object is masked from 'package:knitr':
##
## kable
## The following object is masked from 'package:kableExtra':
##
## kable
## The following object is masked from 'package:stats':
##
## filter
str(work)
## 'data.frame': 870 obs. of 36 variables:
## $ ID : int 1 2 3 4 5 6 7 8 9 10 ...
## $ Age : int 32 40 35 32 24 27 41 37 34 34 ...
## $ Attrition : Factor w/ 2 levels "No","Yes": 1 1 1 1 1 1 1 1 1 1 ...
## $ BusinessTravel : Factor w/ 3 levels "Non-Travel","Travel_Frequently",..: 3 3 2 3 2 2 3 3 3 2 ...
## $ DailyRate : int 117 1308 200 801 567 294 1283 309 1333 653 ...
## $ Department : Factor w/ 3 levels "Human Resources",..: 3 2 2 3 2 2 2 3 3 2 ...
## $ DistanceFromHome : int 13 14 18 1 2 10 5 10 10 10 ...
## $ Education : int 4 3 2 4 1 2 5 4 4 4 ...
## $ EducationField : Factor w/ 6 levels "Human Resources",..: 2 4 2 3 6 2 4 2 2 6 ...
## $ EmployeeCount : int 1 1 1 1 1 1 1 1 1 1 ...
## $ EmployeeNumber : int 859 1128 1412 2016 1646 733 1448 1105 1055 1597 ...
## $ EnvironmentSatisfaction : int 2 3 3 3 1 4 2 4 3 4 ...
## $ Gender : Factor w/ 2 levels "Female","Male": 2 2 2 1 1 2 2 1 1 2 ...
## $ HourlyRate : int 73 44 60 48 32 32 90 88 87 92 ...
## $ JobInvolvement : int 3 2 3 3 3 3 4 2 3 2 ...
## $ JobLevel : int 2 5 3 3 1 3 1 2 1 2 ...
## $ JobRole : Factor w/ 9 levels "Healthcare Representative",..: 8 6 5 8 7 5 7 8 9 1 ...
## $ JobSatisfaction : int 4 3 4 4 4 1 3 4 3 3 ...
## $ MaritalStatus : Factor w/ 3 levels "Divorced","Married",..: 1 3 3 2 3 1 2 1 2 2 ...
## $ MonthlyIncome : int 4403 19626 9362 10422 3760 8793 2127 6694 2220 5063 ...
## $ MonthlyRate : int 9250 17544 19944 24032 17218 4809 5561 24223 18410 15332 ...
## $ NumCompaniesWorked : int 2 1 2 1 1 1 2 2 1 1 ...
## $ Over18 : Factor w/ 1 level "Y": 1 1 1 1 1 1 1 1 1 1 ...
## $ OverTime : Factor w/ 2 levels "No","Yes": 1 1 1 1 2 1 2 2 2 1 ...
## $ PercentSalaryHike : int 11 14 11 19 13 21 12 14 19 14 ...
## $ PerformanceRating : int 3 3 3 3 3 4 3 3 3 3 ...
## $ RelationshipSatisfaction: int 3 1 3 3 3 3 1 3 4 2 ...
## $ StandardHours : int 80 80 80 80 80 80 80 80 80 80 ...
## $ StockOptionLevel : int 1 0 0 2 0 2 0 3 1 1 ...
## $ TotalWorkingYears : int 8 21 10 14 6 9 7 8 1 8 ...
## $ TrainingTimesLastYear : int 3 2 2 3 2 4 5 5 2 3 ...
## $ WorkLifeBalance : int 2 4 3 3 3 2 2 3 3 2 ...
## $ YearsAtCompany : int 5 20 2 14 6 9 4 1 1 8 ...
## $ YearsInCurrentRole : int 2 7 2 10 3 7 2 0 1 2 ...
## $ YearsSinceLastPromotion : int 0 4 2 5 1 1 0 0 0 7 ...
## $ YearsWithCurrManager : int 3 9 2 7 3 7 3 0 0 7 ...
skim(work)
## Skim summary statistics
## n obs: 870
## n variables: 36
##
## -- Variable type:factor ---------------------------------------------------------------------------------------------------------------------------------
## variable missing complete n n_unique
## Attrition 0 870 870 2
## BusinessTravel 0 870 870 3
## Department 0 870 870 3
## EducationField 0 870 870 6
## Gender 0 870 870 2
## JobRole 0 870 870 9
## MaritalStatus 0 870 870 3
## Over18 0 870 870 1
## OverTime 0 870 870 2
## top_counts ordered
## No: 730, Yes: 140, NA: 0 FALSE
## Tra: 618, Tra: 158, Non: 94, NA: 0 FALSE
## Res: 562, Sal: 273, Hum: 35, NA: 0 FALSE
## Lif: 358, Med: 270, Mar: 100, Tec: 75 FALSE
## Mal: 516, Fem: 354, NA: 0 FALSE
## Sal: 200, Res: 172, Lab: 153, Man: 87 FALSE
## Mar: 410, Sin: 269, Div: 191, NA: 0 FALSE
## Y: 870, NA: 0 FALSE
## No: 618, Yes: 252, NA: 0 FALSE
##
## -- Variable type:integer --------------------------------------------------------------------------------------------------------------------------------
## variable missing complete n mean sd p0
## Age 0 870 870 36.83 8.93 18
## DailyRate 0 870 870 815.23 401.12 103
## DistanceFromHome 0 870 870 9.34 8.14 1
## Education 0 870 870 2.9 1.02 1
## EmployeeCount 0 870 870 1 0 1
## EmployeeNumber 0 870 870 1029.83 604.79 1
## EnvironmentSatisfaction 0 870 870 2.7 1.1 1
## HourlyRate 0 870 870 65.61 20.13 30
## ID 0 870 870 435.5 251.29 1
## JobInvolvement 0 870 870 2.72 0.7 1
## JobLevel 0 870 870 2.04 1.09 1
## JobSatisfaction 0 870 870 2.71 1.11 1
## MonthlyIncome 0 870 870 6390.26 4597.7 1081
## MonthlyRate 0 870 870 14325.62 7108.38 2094
## NumCompaniesWorked 0 870 870 2.73 2.52 0
## PercentSalaryHike 0 870 870 15.2 3.68 11
## PerformanceRating 0 870 870 3.15 0.36 3
## RelationshipSatisfaction 0 870 870 2.71 1.1 1
## StandardHours 0 870 870 80 0 80
## StockOptionLevel 0 870 870 0.78 0.86 0
## TotalWorkingYears 0 870 870 11.05 7.51 0
## TrainingTimesLastYear 0 870 870 2.83 1.27 0
## WorkLifeBalance 0 870 870 2.78 0.71 1
## YearsAtCompany 0 870 870 6.96 6.02 0
## YearsInCurrentRole 0 870 870 4.2 3.64 0
## YearsSinceLastPromotion 0 870 870 2.17 3.19 0
## YearsWithCurrManager 0 870 870 4.14 3.57 0
## p25 p50 p75 p100 hist
## 30 35 43 60 <U+2581><U+2583><U+2586><U+2587><U+2585><U+2583><U+2582><U+2582>
## 472.5 817.5 1165.75 1499 <U+2586><U+2586><U+2587><U+2587><U+2587><U+2586><U+2587><U+2587>
## 2 7 14 29 <U+2587><U+2585><U+2583><U+2581><U+2581><U+2581><U+2581><U+2581>
## 2 3 4 5 <U+2582><U+2585><U+2581><U+2587><U+2581><U+2586><U+2581><U+2581>
## 1 1 1 1 <U+2581><U+2581><U+2581><U+2587><U+2581><U+2581><U+2581><U+2581>
## 477.25 1039 1561.5 2064 <U+2587><U+2587><U+2586><U+2587><U+2587><U+2587><U+2587><U+2587>
## 2 3 4 4 <U+2585><U+2581><U+2586><U+2581><U+2581><U+2587><U+2581><U+2587>
## 48 66 83 100 <U+2586><U+2587><U+2587><U+2587><U+2586><U+2587><U+2587><U+2587>
## 218.25 435.5 652.75 870 <U+2587><U+2587><U+2587><U+2587><U+2587><U+2587><U+2587><U+2587>
## 2 3 3 4 <U+2581><U+2581><U+2583><U+2581><U+2581><U+2587><U+2581><U+2581>
## 1 2 3 5 <U+2587><U+2587><U+2581><U+2583><U+2581><U+2582><U+2581><U+2581>
## 2 3 4 4 <U+2585><U+2581><U+2585><U+2581><U+2581><U+2587><U+2581><U+2587>
## 2839.5 4945.5 8182 19999 <U+2587><U+2587><U+2583><U+2582><U+2581><U+2581><U+2581><U+2581>
## 8092 14074.5 20456.25 26997 <U+2586><U+2587><U+2587><U+2587><U+2587><U+2586><U+2587><U+2586>
## 1 2 4 9 <U+2587><U+2582><U+2582><U+2582><U+2581><U+2581><U+2581><U+2581>
## 12 14 18 25 <U+2587><U+2587><U+2583><U+2583><U+2581><U+2582><U+2582><U+2581>
## 3 3 3 4 <U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2582>
## 2 3 4 4 <U+2585><U+2581><U+2585><U+2581><U+2581><U+2587><U+2581><U+2587>
## 80 80 80 80 <U+2581><U+2581><U+2581><U+2587><U+2581><U+2581><U+2581><U+2581>
## 0 1 1 3 <U+2587><U+2581><U+2587><U+2581><U+2581><U+2582><U+2581><U+2581>
## 6 10 15 40 <U+2585><U+2587><U+2582><U+2582><U+2581><U+2581><U+2581><U+2581>
## 2 3 3 6 <U+2581><U+2581><U+2587><U+2587><U+2581><U+2582><U+2582><U+2581>
## 2 3 3 4 <U+2581><U+2581><U+2583><U+2581><U+2581><U+2587><U+2581><U+2582>
## 3 5 10 40 <U+2587><U+2585><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581>
## 2 3 7 18 <U+2587><U+2582><U+2581><U+2585><U+2581><U+2581><U+2581><U+2581>
## 0 1 3 15 <U+2587><U+2582><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581>
## 2 3 7 17 <U+2587><U+2582><U+2581><U+2583><U+2581><U+2581><U+2581><U+2581>
count(work$Attrition)
## x freq
## 1 No 730
## 2 Yes 140
#Check for missing values
colSums(is.na(work))
## ID Age Attrition
## 0 0 0
## BusinessTravel DailyRate Department
## 0 0 0
## DistanceFromHome Education EducationField
## 0 0 0
## EmployeeCount EmployeeNumber EnvironmentSatisfaction
## 0 0 0
## Gender HourlyRate JobInvolvement
## 0 0 0
## JobLevel JobRole JobSatisfaction
## 0 0 0
## MaritalStatus MonthlyIncome MonthlyRate
## 0 0 0
## NumCompaniesWorked Over18 OverTime
## 0 0 0
## PercentSalaryHike PerformanceRating RelationshipSatisfaction
## 0 0 0
## StandardHours StockOptionLevel TotalWorkingYears
## 0 0 0
## TrainingTimesLastYear WorkLifeBalance YearsAtCompany
## 0 0 0
## YearsInCurrentRole YearsSinceLastPromotion YearsWithCurrManager
## 0 0 0
#Here is a quick way we can visualize the data that was provided. This will give us the starting point to begin our analysis. #What we are looking for are variables where attirition stands out from the non-attrition values.
#Automated EDA
# step 1, save target variable name
target <- "Attrition"
# step 2, save explanator variable names
numvars <- work %>% keep(is.numeric) %>% colnames
numplot <- function(df, explan, resp) {
ggplot(data = df) + geom_density(aes_string(x = explan, fill = resp), alpha = 0.5)
}
numplot(work, explan = "MonthlyIncome", resp = "Attrition")
numplot(work, explan = "MonthlyIncome", resp = "Attrition")
plotlist <- lapply(numvars, function(x) numplot(work, x, "Attrition"))
png()
lapply(numvars, function(x) numplot(work, x, "Attrition"))
## [[1]]
##
## [[2]]
##
## [[3]]
##
## [[4]]
##
## [[5]]
##
## [[6]]
##
## [[7]]
##
## [[8]]
##
## [[9]]
##
## [[10]]
##
## [[11]]
##
## [[12]]
##
## [[13]]
##
## [[14]]
##
## [[15]]
##
## [[16]]
##
## [[17]]
##
## [[18]]
##
## [[19]]
##
## [[20]]
##
## [[21]]
##
## [[22]]
##
## [[23]]
##
## [[24]]
##
## [[25]]
##
## [[26]]
##
## [[27]]
dev.off()
## png
## 2
library(cowplot)
##
## ********************************************************
## Note: As of version 1.0.0, cowplot does not change the
## default ggplot2 theme anymore. To recover the previous
## behavior, execute:
## theme_set(theme_cowplot())
## ********************************************************
##
## Attaching package: 'cowplot'
## The following object is masked from 'package:ggthemes':
##
## theme_map
plot_grid(plotlist = plotlist)
# categorical vs categorical
ggplot(data = work) + geom_bar(aes(x = MonthlyIncome, fill = Attrition), position = "fill", alpha = 0.9) + coord_flip()
ones <- rep(1, nrow(work))
zeroes <- rep(0, nrow(work))
onezeroes <- c(ones, zeroes)
work$rcat <- sample(onezeroes, nrow(work))
ggplot(data = work) + geom_bar(aes(x = MonthlyIncome, fill = Attrition), position = "fill", alpha = 0.9) + coord_flip()
# step 1: Name target variable:
target <- "Attrition"
# step 2: name explanatory vars
expls <- work %>% keep(is.factor) %>% colnames
catplot <- function(df, x,y){
ggplot(data = df, aes_string(x = x, fill = y)) +
geom_bar(position = "fill", alpha = 0.9) +
coord_flip()
}
plotlist2 <- lapply(expls, function(x) catplot(work, x, target))
plot_grid(plotlist = plotlist2)
#Additional EDA - Scatter Plots #Here we are trying to see if we can gain any further insights into how these variables interact with attrition.
#Plots to see what is correlated with Attrition)
ggplot(work, aes(x=MonthlyRate, y=Attrition,color=JobRole))+geom_point(position="jitter")
ggplot(work, aes(x=MonthlyIncome, y=Attrition,color=JobRole))+geom_point(position="jitter")
ggplot(work, aes(x=JobSatisfaction, y=Attrition,color=JobRole))+geom_point(position="jitter")
ggplot(work, aes(x=PercentSalaryHike, y=Attrition,color=JobRole))+geom_point(position="jitter")
ggplot(work, aes(x=EnvironmentSatisfaction, y=Attrition,color=JobRole))+geom_point(position="jitter")
ggplot(work, aes(x=JobSatisfaction, y=Attrition,color=JobRole))+geom_point(position="jitter")
ggplot(work, aes(x=RelationshipSatisfaction, y=Attrition,color=JobRole))+geom_point(position="jitter")
ggplot(work, aes(x=TotalWorkingYears, y=Attrition,color=JobRole))+geom_point(position="jitter")
ggplot(work, aes(x=WorkLifeBalance, y=Attrition,color=JobRole))+geom_point(position="jitter")
ggplot(work, aes(x=YearsInCurrentRole, y=Attrition,color=JobRole))+geom_point(position="jitter")
ggplot(work, aes(x=YearsSinceLastPromotion, y=Attrition,color=JobRole))+geom_point(position="jitter")
ggplot(work, aes(x=JobLevel, y=Attrition,color=JobRole))+geom_point(position="jitter")
ggplot(work, aes(x=DistanceFromHome, y=Attrition,color=JobRole))+geom_point(position="jitter")
ggplot(work, aes(x=Education, y=Attrition,color=JobRole))+geom_point(position="jitter")
#Checking if Travel Rate has an impact
ggplot(work, aes(x=MonthlyRate, y=Attrition,color=BusinessTravel))+geom_point(position="jitter")
ggplot(work, aes(x=MonthlyIncome, y=Attrition,color=BusinessTravel))+geom_point(position="jitter")
ggplot(work, aes(x=JobSatisfaction, y=Attrition,color=BusinessTravel))+geom_point(position="jitter")
ggplot(work, aes(x=PercentSalaryHike, y=Attrition,color=BusinessTravel))+geom_point(position="jitter")
ggplot(work, aes(x=EnvironmentSatisfaction, y=Attrition,color=BusinessTravel))+geom_point(position="jitter")
ggplot(work, aes(x=JobSatisfaction, y=Attrition,color=BusinessTravel))+geom_point(position="jitter")
ggplot(work, aes(x=RelationshipSatisfaction, y=Attrition,color=BusinessTravel))+geom_point(position="jitter")
ggplot(work, aes(x=TotalWorkingYears, y=Attrition,color=BusinessTravel))+geom_point(position="jitter")
ggplot(work, aes(x=WorkLifeBalance, y=Attrition,color=BusinessTravel))+geom_point(position="jitter")
ggplot(work, aes(x=YearsInCurrentRole, y=Attrition,color=BusinessTravel))+geom_point(position="jitter")
ggplot(work, aes(x=YearsSinceLastPromotion, y=Attrition,color=BusinessTravel))+geom_point(position="jitter")
ggplot(work, aes(x=JobLevel, y=Attrition,color=BusinessTravel))+geom_point(position="jitter")
ggplot(work, aes(x=DistanceFromHome, y=Attrition,color=BusinessTravel))+geom_point(position="jitter")
ggplot(work, aes(x=Education, y=Attrition,color=BusinessTravel))+geom_point(position="jitter")
#Boxplots of data
ggplot(work, aes(x=Attrition, y=MonthlyRate))+geom_boxplot()
ggplot(work, aes(x=Attrition, y=MonthlyIncome))+geom_boxplot()
ggplot(work, aes(x=Attrition, y=JobSatisfaction))+geom_boxplot()
ggplot(work, aes(x=Attrition, y=PercentSalaryHike))+geom_boxplot()
ggplot(work, aes(x=Attrition, y=EnvironmentSatisfaction))+geom_boxplot()
ggplot(work, aes(x=Attrition, y=JobSatisfaction))+geom_boxplot()
ggplot(work, aes(x=Attrition, y=RelationshipSatisfaction))+geom_boxplot()
ggplot(work, aes(x=Attrition, y=TotalWorkingYears))+geom_boxplot()
ggplot(work, aes(x=Attrition, y=WorkLifeBalance))+geom_boxplot()
ggplot(work, aes(x=Attrition, y=YearsInCurrentRole))+geom_boxplot()
ggplot(work, aes(x=Attrition, y=YearsSinceLastPromotion))+geom_boxplot()
ggplot(work, aes(x=Attrition, y=JobLevel))+geom_boxplot()
ggplot(work, aes(x=Attrition, y=DistanceFromHome))+geom_boxplot()
#Here, we drop the variables that have only one value. Variables with no standard deviation are of no use to us in this analysis.
#Drop variables with no standard deviation
work <- subset(work, select = -c(EmployeeCount, StandardHours, Over18))
Case2PredictionsSeanMcWhirter_Attrition <- subset(Case2PredictionsSeanMcWhirter_Attrition, select = -c(EmployeeCount, StandardHours, Over18))
#With the correlation plot below, we are inspecting correlation between numeric variables. As we can see, there are quite a few variables that are correlated with one another.
#This could pose a problem, so we will attempt to deal with them later on if they become problematic.
#corrplot
work %>% keep(is.numeric)%>% na.omit %>% cor %>% corrplot("upper", addCoef.col = "white", number.digits = 2,
number.cex = 0.5, method="square",
order="hclust", title="Variable Corr Heatmap",
tl.srt=90, tl.cex = 0.8,)
#Feature Engineering attempt. The goal here was to combine differnet variables to try and pull the attrition density away from the non-attrition.
#Quite a few hours went into this, however no beneficial outcome came of it due to my lack of knowledge in Feature Engineering.
work_test<-work
work_test<-work_test%>%mutate(IncLevYears=((JobLevel+TotalWorkingYears+YearsAtCompany)*Age))
work_test<-work_test%>%mutate(IncLevYears2=(YearsSinceLastPromotion+YearsAtCompany))
work_test<-work_test%>%mutate(IncLevYears3=(JobInvolvement+log(MonthlyIncome)+JobLevel+TotalWorkingYears+YearsAtCompany+YearsInCurrentRole))
work_test<-work_test%>%mutate(IncLevYears4=NumCompaniesWorked+Age+YearsSinceLastPromotion)
#work<-work%>%mutate(CoRolePro=YearsInCurrentRole*YearsAtCompany*YearsSinceLastPromotion)
work_test<-work_test%>%mutate(CoRolePro2=(YearsSinceLastPromotion+YearsWithCurrManager+YearsAtCompany))
#work<-work%>%mutate(test=(((MonthlyIncome*JobInvolvement)/TotalWorkingYears)
numplot <- function(df, explan, resp) {
ggplot(data = df) + geom_density(aes_string(x = explan, fill = resp), alpha = 0.5)
}
numplot(work_test, explan = "IncLevYears", resp = "Attrition")
numplot(work_test, explan = "IncLevYears2", resp = "Attrition")
numplot(work_test, explan = "IncLevYears3", resp = "Attrition")
numplot(work_test, explan = "IncLevYears4", resp = "Attrition")
numplot(work_test, explan = "CoRolePro2", resp = "Attrition")
#numplot(work, explan = "test", resp = "Attrition")
work_test%>%ggplot(aes(x=IncLevYears3, y=CoRolePro2, color=Attrition))+geom_point(position="jitter")
#Here we are converting the factored variables into integer to be used with Knn
#Converting for the training set
work$JobRole <- as.integer(work$JobRole)
work$OverTime <- as.integer(work$OverTime)
work$BusinessTravel <- as.integer(work$BusinessTravel)
work$Department <- as.integer(work$Department)
work$EducationField <- as.integer(work$EducationField)
work$MaritalStatus <- as.integer(work$MaritalStatus)
work$OverTime <- as.integer(work$OverTime)
work$Gender <- as.integer(work$Gender)
#Converting for the test set
Case2PredictionsSeanMcWhirter_Attrition$JobRole <- as.integer(Case2PredictionsSeanMcWhirter_Attrition$JobRole)
Case2PredictionsSeanMcWhirter_Attrition$OverTime <- as.integer(Case2PredictionsSeanMcWhirter_Attrition$OverTime)
Case2PredictionsSeanMcWhirter_Attrition$BusinessTravel <- as.integer(Case2PredictionsSeanMcWhirter_Attrition$BusinessTravel)
Case2PredictionsSeanMcWhirter_Attrition$Department <- as.integer(Case2PredictionsSeanMcWhirter_Attrition$Department)
Case2PredictionsSeanMcWhirter_Attrition$EducationField <- as.integer(Case2PredictionsSeanMcWhirter_Attrition$EducationField)
Case2PredictionsSeanMcWhirter_Attrition$MaritalStatus <- as.integer(Case2PredictionsSeanMcWhirter_Attrition$MaritalStatus)
Case2PredictionsSeanMcWhirter_Attrition$OverTime <- as.integer(Case2PredictionsSeanMcWhirter_Attrition$OverTime)
Case2PredictionsSeanMcWhirter_Attrition$Gender <- as.integer(Case2PredictionsSeanMcWhirter_Attrition$Gender)
#Standardize data for KNN
##Standardize all int columns
work<-work%>%mutate_if(is.numeric,scale)
#For the blank set, we need to keep the ID value as-is so we can use it with our final prediction output.
Case2PredictionsSeanMcWhirter_Attrition<-Case2PredictionsSeanMcWhirter_Attrition%>%mutate_at(vars(-ID),scale)
#Confirm it worked and get final column numbers
#str(work)
#str(Case2PredictionsSeanMcWhirter_Attrition)
#skim(work_norm2)
#KNN Variable Selection–This will run all of the variables and produce the most important ones.
#install.packages("ISLR")
#library(ISLR)
#library(caret)
set.seed(300)
#Spliting data as training and test set. Using createDataPartition() function from caret
indxTrain <- createDataPartition(y = work$Attrition,p = 0.75,list = FALSE)
training <- work[indxTrain,]
testing <- work[-indxTrain,]
#Checking distibution in origanl data and partitioned data
prop.table(table(training$Attrition)) * 100
##
## No Yes
## 83.92037 16.07963
prop.table(table(testing$Attrition)) * 100
##
## No Yes
## 83.87097 16.12903
prop.table(table(work$Attrition)) * 100
##
## No Yes
## 83.90805 16.09195
#Training the model
trctrl <- trainControl(method = "repeatedcv", number = 10, repeats = 3)
set.seed(3333)
knn_fit <- caret::train(Attrition ~., data = training, method = "knn",
trControl=trctrl,
preProcess = c("center", "scale"),
tuneLength = 10)
knn_fit
## k-Nearest Neighbors
##
## 653 samples
## 33 predictor
## 2 classes: 'No', 'Yes'
##
## Pre-processing: centered (33), scaled (33)
## Resampling: Cross-Validated (10 fold, repeated 3 times)
## Summary of sample sizes: 587, 588, 587, 588, 587, 587, ...
## Resampling results across tuning parameters:
##
## k Accuracy Kappa
## 5 0.8468850 0.15968703
## 7 0.8464270 0.11363743
## 9 0.8468930 0.09227393
## 11 0.8443364 0.06387508
## 13 0.8453620 0.05865069
## 15 0.8423084 0.03285418
## 17 0.8433263 0.04289187
## 19 0.8438469 0.04777738
## 21 0.8423162 0.03795144
## 23 0.8418111 0.03318954
##
## Accuracy was used to select the optimal model using the largest value.
## The final value used for the model was k = 9.
knnPredict<-predict(knn_fit, newdata=testing)
confusionMatrix(knnPredict, testing$Attrition)
## Confusion Matrix and Statistics
##
## Reference
## Prediction No Yes
## No 181 34
## Yes 1 1
##
## Accuracy : 0.8387
## 95% CI : (0.7829, 0.885)
## No Information Rate : 0.8387
## P-Value [Acc > NIR] : 0.545
##
## Kappa : 0.0373
##
## Mcnemar's Test P-Value : 6.338e-08
##
## Sensitivity : 0.99451
## Specificity : 0.02857
## Pos Pred Value : 0.84186
## Neg Pred Value : 0.50000
## Prevalence : 0.83871
## Detection Rate : 0.83410
## Detection Prevalence : 0.99078
## Balanced Accuracy : 0.51154
##
## 'Positive' Class : No
##
#knn_fit 2 --> for ROC maximization
ctrl <- trainControl(method = "repeatedcv", repeats = 5, classProbs=TRUE, summaryFunction = twoClassSummary)
kNNFit4 <- caret::train(Attrition ~ .,
data = work,
method = "knn",
tuneLength = 15,
trControl = ctrl,
preProc = c("center", "scale"))
## Warning in train.default(x, y, weights = w, ...): The metric "Accuracy" was
## not in the result set. ROC will be used instead.
kNNFit4
## k-Nearest Neighbors
##
## 870 samples
## 33 predictor
## 2 classes: 'No', 'Yes'
##
## Pre-processing: centered (33), scaled (33)
## Resampling: Cross-Validated (10 fold, repeated 5 times)
## Summary of sample sizes: 783, 783, 783, 783, 783, 783, ...
## Resampling results across tuning parameters:
##
## k ROC Sens Spec
## 5 0.6865068 0.9887671 0.162857143
## 7 0.6918102 0.9931507 0.104285714
## 9 0.6977397 0.9945205 0.074285714
## 11 0.7050196 0.9956164 0.062857143
## 13 0.7088552 0.9978082 0.047142857
## 15 0.7142172 0.9986301 0.041428571
## 17 0.7210372 1.0000000 0.034285714
## 19 0.7295303 1.0000000 0.032857143
## 21 0.7300783 1.0000000 0.027142857
## 23 0.7339530 1.0000000 0.027142857
## 25 0.7415851 1.0000000 0.028571429
## 27 0.7504403 1.0000000 0.025714286
## 29 0.7513307 1.0000000 0.022857143
## 31 0.7520352 1.0000000 0.015714286
## 33 0.7550294 1.0000000 0.008571429
##
## ROC was used to select the optimal model using the largest value.
## The final value used for the model was k = 33.
#####Ranking of variable importance
library(mlbench)
control <- caret::trainControl(method="repeatedcv", number=10, repeats=3)
#Train Model
model<- caret::train(Attrition ~ . , data=work, method="lvq", preProcess="scale" , trControl=control)
#Importance estimate
importance<-varImp(model, scale=FALSE)
print(importance)
## ROC curve variable importance
##
## only 20 most important variables shown (out of 33)
##
## Importance
## OverTime 0.6679
## MonthlyIncome 0.6567
## TotalWorkingYears 0.6563
## YearsAtCompany 0.6470
## StockOptionLevel 0.6455
## MaritalStatus 0.6438
## JobLevel 0.6406
## YearsInCurrentRole 0.6403
## YearsWithCurrManager 0.6291
## Age 0.6265
## JobInvolvement 0.6159
## JobSatisfaction 0.5833
## JobRole 0.5829
## Department 0.5605
## DistanceFromHome 0.5586
## EnvironmentSatisfaction 0.5532
## WorkLifeBalance 0.5491
## TrainingTimesLastYear 0.5428
## Education 0.5384
## ID 0.5371
plot(importance)
#Here we will rank the variables by importance. This is just another model we can use to confirm the variable importance using Recursive Feature Elimination
####Ranking of variable importance via Recursive Feature Elimination (RFE)
set.seed(7)
# define the control using a random forest selection function
control <- rfeControl(functions=rfFuncs, method="cv", number=3)
# run the RFE algorithm
results <- rfe(work[,3:32], work[,2], sizes=c(3:32), rfeControl=control)
## Warning in rfout$mse/(var(y) * (n - 1)/n): Recycling array of length 1 in vector-array arithmetic is deprecated.
## Use c() or as.vector() instead.
# summarize the results
#print(results)
# list the chosen features
predictors(results)
## [1] "TotalWorkingYears" "NumCompaniesWorked"
## [3] "YearsAtCompany" "MonthlyIncome"
## [5] "JobLevel" "Education"
## [7] "YearsInCurrentRole" "YearsSinceLastPromotion"
## [9] "Attrition" "MaritalStatus"
## [11] "MonthlyRate" "HourlyRate"
## [13] "JobRole" "WorkLifeBalance"
## [15] "StockOptionLevel" "BusinessTravel"
## [17] "EducationField" "DailyRate"
## [19] "Gender" "EmployeeNumber"
## [21] "OverTime" "PercentSalaryHike"
## [23] "JobInvolvement" "RelationshipSatisfaction"
# plot the results
plot(results, type=c("g", "o"))
#str(work)
#KNN
set.seed(100)
splitPerc = .70
##If we needed to ensure we are omitting NAs
#work <- work_norm2 %>% na.omit()
#test/train split
trainIndices = sample(1:dim(work)[1],round(splitPerc * dim(work)[1]))
train = work[trainIndices,]
test = work[-trainIndices,]
var1=22
var2=19
var3=26
var4=16
var5=15
var6=18
k_num=3
#KNN Test
classifications = knn(train[,c(var1, var2, var3, var4, var5, var6)],test[,c(var1, var2, var3, var4, var5, var6)],train$Attrition, prob = TRUE, k = k_num)
table(classifications,test$Attrition)
##
## classifications No Yes
## No 206 21
## Yes 14 20
CM1=confusionMatrix(table(classifications, test$Attrition))
#Copy of knn from function
classifications = knn(train[,c(var1, var2, var3, var4, var5, var6)],test[,c(var1, var2, var3, var4, var5, var6)],train$Attrition, prob = TRUE, k = k_num)
table(test$Attrition,classifications)
## classifications
## No Yes
## No 206 14
## Yes 21 20
CM2 = confusionMatrix(table(test$Attrition,classifications))
## Loop for many k and one training / test partition--determining the optimal number of k.
iterations=50
accs = data.frame(accuracy = numeric(iterations), sensitivity=numeric(iterations), specificity=numeric(iterations), k = numeric(iterations))
for(i in 1:iterations)
{
classifications = knn(train[,c(var1, var2, var3, var4, var5, var6)],test[,c(var1, var2, var3, var4, var5, var6)],train$Attrition, prob = TRUE, k = i)
table(classifications,test$Attrition)
CM = confusionMatrix(table(classifications, test$Attrition))
accs$accuracy[i] = CM$overall[1]
accs$sensitivity[i]=CM$byClass[1]
accs$specificity[i]=CM$byClass[2]
accs$k[i] = i
}
plot(accs$k,accs$accuracy, type = "l", xlab = "k", ylab="Accuracy")
plot(accs$k,accs$sensitivity, type = "l", xlab = "k", ylab="sensitivity")
plot(accs$k,accs$specificity, type = "l", xlab = "k", ylab="specificity")
accs
## accuracy sensitivity specificity k
## 1 0.8160920 0.8954545 0.3902439 1
## 2 0.8199234 0.8909091 0.4390244 2
## 3 0.8659004 0.9363636 0.4878049 3
## 4 0.8582375 0.9363636 0.4390244 4
## 5 0.8773946 0.9545455 0.4634146 5
## 6 0.8659004 0.9500000 0.4146341 6
## 7 0.8697318 0.9545455 0.4146341 7
## 8 0.8582375 0.9590909 0.3170732 8
## 9 0.8697318 0.9681818 0.3414634 9
## 10 0.8659004 0.9636364 0.3414634 10
## 11 0.8697318 0.9681818 0.3414634 11
## 12 0.8735632 0.9727273 0.3414634 12
## 13 0.8582375 0.9681818 0.2682927 13
## 14 0.8697318 0.9727273 0.3170732 14
## 15 0.8659004 0.9772727 0.2682927 15
## 16 0.8620690 0.9727273 0.2682927 16
## 17 0.8659004 0.9772727 0.2682927 17
## 18 0.8659004 0.9772727 0.2682927 18
## 19 0.8620690 0.9772727 0.2439024 19
## 20 0.8659004 0.9727273 0.2926829 20
## 21 0.8544061 0.9681818 0.2439024 21
## 22 0.8620690 0.9772727 0.2439024 22
## 23 0.8582375 0.9681818 0.2682927 23
## 24 0.8544061 0.9681818 0.2439024 24
## 25 0.8467433 0.9590909 0.2439024 25
## 26 0.8467433 0.9590909 0.2439024 26
## 27 0.8467433 0.9590909 0.2439024 27
## 28 0.8467433 0.9590909 0.2439024 28
## 29 0.8467433 0.9590909 0.2439024 29
## 30 0.8544061 0.9681818 0.2439024 30
## 31 0.8544061 0.9727273 0.2195122 31
## 32 0.8505747 0.9636364 0.2439024 32
## 33 0.8544061 0.9636364 0.2682927 33
## 34 0.8505747 0.9681818 0.2195122 34
## 35 0.8429119 0.9590909 0.2195122 35
## 36 0.8467433 0.9590909 0.2439024 36
## 37 0.8505747 0.9681818 0.2195122 37
## 38 0.8505747 0.9681818 0.2195122 38
## 39 0.8429119 0.9590909 0.2195122 39
## 40 0.8429119 0.9590909 0.2195122 40
## 41 0.8429119 0.9590909 0.2195122 41
## 42 0.8390805 0.9545455 0.2195122 42
## 43 0.8429119 0.9590909 0.2195122 43
## 44 0.8429119 0.9590909 0.2195122 44
## 45 0.8429119 0.9590909 0.2195122 45
## 46 0.8390805 0.9545455 0.2195122 46
## 47 0.8429119 0.9590909 0.2195122 47
## 48 0.8429119 0.9590909 0.2195122 48
## 49 0.8429119 0.9590909 0.2195122 49
## 50 0.8429119 0.9590909 0.2195122 50
CM1
## Confusion Matrix and Statistics
##
##
## classifications No Yes
## No 206 21
## Yes 14 20
##
## Accuracy : 0.8659
## 95% CI : (0.8185, 0.9048)
## No Information Rate : 0.8429
## P-Value [Acc > NIR] : 0.1753
##
## Kappa : 0.4558
##
## Mcnemar's Test P-Value : 0.3105
##
## Sensitivity : 0.9364
## Specificity : 0.4878
## Pos Pred Value : 0.9075
## Neg Pred Value : 0.5882
## Prevalence : 0.8429
## Detection Rate : 0.7893
## Detection Prevalence : 0.8697
## Balanced Accuracy : 0.7121
##
## 'Positive' Class : No
##
CM2
## Confusion Matrix and Statistics
##
## classifications
## No Yes
## No 206 14
## Yes 21 20
##
## Accuracy : 0.8659
## 95% CI : (0.8185, 0.9048)
## No Information Rate : 0.8697
## P-Value [Acc > NIR] : 0.6166
##
## Kappa : 0.4558
##
## Mcnemar's Test P-Value : 0.3105
##
## Sensitivity : 0.9075
## Specificity : 0.5882
## Pos Pred Value : 0.9364
## Neg Pred Value : 0.4878
## Prevalence : 0.8697
## Detection Rate : 0.7893
## Detection Prevalence : 0.8429
## Balanced Accuracy : 0.7479
##
## 'Positive' Class : No
##
#The ouput from the graph below shows that the optimal K=3
##Loop for many k values and many test/training sets. This will tell us how our classifier acts over may differnet random samples of training/test sets as well as k-values.
iterations=50
numks=30
masterAcc = matrix(nrow=iterations, ncol=numks)
massterSens=matrix(nrow=iterations, ncol=numks)
masterSpec=matrix(nrow=iterations, ncol=numks)
for(j in 1:iterations)
{
accs=data.frame(accuracy=numeric(30), k=numeric(30))
trainIndicies=sample(1:dim(work)[1],round(splitPerc*dim(work)[1]))
train=work[trainIndicies,]
test=work[-trainIndicies,]
for(i in 1:numks)
{
classifications=knn(train[,c(var1, var2, var3, var4, var5, var6)], test[,c(var1, var2, var3, var4, var5, var6)], train$Attrition, prob=TRUE, k=i)
table(classifications, test$Attrition)
CM=confusionMatrix(table(classifications, test$Attrition))
masterAcc[j,i]=CM$overall[1]
massterSens[j,i]=CM$byClass[1]
masterSpec[j,i]=CM$byClass[2]
}
}
MeanAcc = colMeans(masterAcc)
MeanSens = colMeans(massterSens)
MeanSpec = colMeans(masterSpec)
plot(seq(1,numks,1),MeanAcc, type = "l")
plot(seq(1,numks,1),MeanSens, type = "l")
plot(seq(1,numks,1),MeanSpec, type = "l")
#The outcome confirms that lower k-value yields higher specificity
#Use the classifier to make the predictions for the blank data set
#Make Attrition numeric for "predict" to work
#set.seed(400)
#Dropping All columns but necessary ones
#work_pred <- subset(work, select = c(ID, OverTime, MonthlyIncome, StockOptionLevel, JobRole, JobLevel, MaritalStatus))
#Output of kNN fit
#knnFit
#Case2PredictionsSeanMcWhirter_Attrition <- predict(knnFit,newdata = Case2PredictionsSeanMcWhirter_Attrition )
#Make Predictions
#Predictions=predict(classifications, newdata=Case2PredictionsSeanMcWhirter_Attrition)
#Case2PredictionsSeanMcWhirter_Attrition<-data.frame(ID=Case2PredictionsSeanMcWhirter_Attrition$ID, Predicted_Income=Predictions)
#Write predicitons to CSV for submission
#write.csv(Case2PredictionsSeanMcWhirter_Attrition, file="Case2PredictionsSeanMcWhirter_Attrition.csv", row.names = FALSE)
#Use the classifier to make the predictions for the blank data set
#train_pred <- subset(work, select = c(OverTime, MonthlyIncome, StockOptionLevel, JobRole, JobLevel, MaritalStatus, Attrition))
#predictions <- subset(Case2PredictionsSeanMcWhirter_Attrition, select = c(OverTime, MonthlyIncome, StockOptionLevel, JobRole, JobLevel, MaritalStatus))
#classification = knn(train_pred[,1:6], predictions[,1:6], train_pred$Attrition, k=3, prob=TRUE)
#Case2PredictionsSeanMcWhirter_Attrition$Attrition <- data.frame(classification)
#Case2PredictionsSeanMcWhirter_Attrition$Attrition
#Case2PredictionsSeanMcWhirter_Attrition<-data.frame(ID=Case2PredictionsSeanMcWhirter_Attrition$ID, Case2PredictionsSeanMcWhirter_Attrition$Attrition)
#write.csv(Case2PredictionsSeanMcWhirter_Attrition, file="Case2PredictionsSeanMcWhirter_Attrition.csv", row.names = FALSE)
#Reset Data
work=read.csv("C:/Users/seans/Desktop/DDS/Unit 14 and 15 Case Study 2/CaseStudy2-data.csv", header=TRUE, sep=",", stringsAsFactors = TRUE)
#Drop variables with no standard deviation as well as any income data
work <- subset(work, select = -c(EmployeeCount, StandardHours, Over18, ID, MonthlyRate, DailyRate))
library(olsrr)
##
## Attaching package: 'olsrr'
## The following object is masked from 'package:datasets':
##
## rivers
#Model for Monthly Income
model<-lm(MonthlyIncome ~ . , data=work)
# use stepwise variable selection (ols_step_forward_p(model))
ols_step_both_p(model)
## Stepwise Selection Method
## ---------------------------
##
## Candidate Terms:
##
## 1. Age
## 2. Attrition
## 3. BusinessTravel
## 4. Department
## 5. DistanceFromHome
## 6. Education
## 7. EducationField
## 8. EmployeeNumber
## 9. EnvironmentSatisfaction
## 10. Gender
## 11. HourlyRate
## 12. JobInvolvement
## 13. JobLevel
## 14. JobRole
## 15. JobSatisfaction
## 16. MaritalStatus
## 17. NumCompaniesWorked
## 18. OverTime
## 19. PercentSalaryHike
## 20. PerformanceRating
## 21. RelationshipSatisfaction
## 22. StockOptionLevel
## 23. TotalWorkingYears
## 24. TrainingTimesLastYear
## 25. WorkLifeBalance
## 26. YearsAtCompany
## 27. YearsInCurrentRole
## 28. YearsSinceLastPromotion
## 29. YearsWithCurrManager
##
## We are selecting variables based on p value...
##
## Variables Entered/Removed:
##
## - JobLevel added
## - JobRole added
## - TotalWorkingYears added
## - BusinessTravel added
## - Gender added
##
## No more variables to be added/removed.
##
##
## Final Model Output
## ------------------
##
## Model Summary
## -------------------------------------------------------------------
## R 0.974 RMSE 1054.722
## R-Squared 0.948 Coef. Var 16.505
## Adj. R-Squared 0.947 MSE 1112439.436
## Pred R-Squared 0.947 MAE 797.414
## -------------------------------------------------------------------
## RMSE: Root Mean Square Error
## MSE: Mean Square Error
## MAE: Mean Absolute Error
##
## ANOVA
## ---------------------------------------------------------------------------------
## Sum of
## Squares DF Mean Square F Sig.
## ---------------------------------------------------------------------------------
## Regression 17417376230.084 13 1339798171.545 1204.379 0.0000
## Residual 952248157.111 856 1112439.436
## Total 18369624387.195 869
## ---------------------------------------------------------------------------------
##
## Parameter Estimates
## ------------------------------------------------------------------------------------------------------------------
## model Beta Std. Error Std. Beta t Sig lower upper
## ------------------------------------------------------------------------------------------------------------------
## (Intercept) -478.919 226.410 -2.115 0.035 -923.303 -34.536
## JobLevel 2792.584 81.269 0.662 34.362 0.000 2633.073 2952.094
## JobRoleHuman Resources -374.979 250.206 -0.014 -1.499 0.134 -866.069 116.110
## JobRoleLaboratory Technician -625.023 168.108 -0.052 -3.718 0.000 -954.974 -295.071
## JobRoleManager 3985.659 227.584 0.204 17.513 0.000 3538.971 4432.347
## JobRoleManufacturing Director 118.224 166.250 0.008 0.711 0.477 -208.081 444.529
## JobRoleResearch Director 3974.664 213.077 0.203 18.654 0.000 3556.450 4392.879
## JobRoleResearch Scientist -345.383 168.272 -0.030 -2.053 0.040 -675.657 -15.109
## JobRoleSales Executive -74.387 143.166 -0.007 -0.520 0.603 -355.385 206.612
## JobRoleSales Representative -405.032 211.162 -0.021 -1.918 0.055 -819.488 9.424
## TotalWorkingYears 48.192 7.902 0.079 6.099 0.000 32.682 63.701
## BusinessTravelTravel_Frequently 214.458 138.887 0.018 1.544 0.123 -58.141 487.057
## BusinessTravelTravel_Rarely 391.128 117.343 0.039 3.333 0.001 160.815 621.441
## GenderMale 132.512 73.395 0.014 1.805 0.071 -11.544 276.567
## ------------------------------------------------------------------------------------------------------------------
##
## Stepwise Selection Summary
## ----------------------------------------------------------------------------------------------------
## Added/ Adj.
## Step Variable Removed R-Square R-Square C(p) AIC RMSE
## ----------------------------------------------------------------------------------------------------
## 1 JobLevel addition 0.906 0.906 679.7640 15094.3534 1413.2958
## 2 JobRole addition 0.945 0.944 37.7030 14641.4330 1084.4355
## 3 TotalWorkingYears addition 0.947 0.947 3.0050 14607.2848 1062.7570
## 4 BusinessTravel addition 0.948 0.947 -7.7670 14598.3432 1056.1120
## 5 Gender addition 0.948 0.947 -9.0000 14597.0365 1054.7224
## ----------------------------------------------------------------------------------------------------
#Regression Cross Validation - Stepwise
#Using stepwise selection
#Here we are chanign th factored variables to numeric so cross-validation will work
work$Attrition <- as.integer(work$Attrition)
work$JobRole <- as.integer(work$JobRole)
work$OverTime <- as.integer(work$OverTime)
work$BusinessTravel <- as.integer(work$BusinessTravel)
work$Department <- as.integer(work$Department)
work$EducationField <- as.integer(work$EducationField)
work$MaritalStatus <- as.integer(work$MaritalStatus)
work$OverTime <- as.integer(work$OverTime)
work$Gender <- as.integer(work$Gender)
trainIndicies=sample(1:dim(work)[1],round(.75*dim(work)[1]))
train=work[trainIndicies,]
test=work[-trainIndicies,]
model1_fit=lm(MonthlyIncome~JobLevel+TotalWorkingYears+BusinessTravel, data=train)
summary(model1_fit)
##
## Call:
## lm(formula = MonthlyIncome ~ JobLevel + TotalWorkingYears + BusinessTravel,
## data = train)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5414.1 -868.4 61.1 719.8 3900.7
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -2280.45 238.23 -9.572 < 2e-16 ***
## JobLevel 3655.47 79.50 45.983 < 2e-16 ***
## TotalWorkingYears 67.71 11.32 5.982 3.65e-09 ***
## BusinessTravel 183.95 80.57 2.283 0.0227 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1382 on 648 degrees of freedom
## Multiple R-squared: 0.9079, Adjusted R-squared: 0.9074
## F-statistic: 2128 on 3 and 648 DF, p-value: < 2.2e-16
model1_preds=predict(model1_fit, newdata=test)
as.data.frame(model1_preds)
## model1_preds
## 2 17970.589
## 6 9663.219
## 8 6123.991
## 11 17970.589
## 12 1762.089
## 16 5823.800
## 18 5688.386
## 21 6462.524
## 25 5988.578
## 31 6007.749
## 33 14789.064
## 35 6123.991
## 36 2081.451
## 38 6665.644
## 46 2555.398
## 48 9847.168
## 52 18715.362
## 53 2603.933
## 62 9914.875
## 65 1994.574
## 66 2400.814
## 67 6733.350
## 69 2081.451
## 71 2739.347
## 72 5988.578
## 79 10427.163
## 85 6801.057
## 89 9663.219
## 94 6259.404
## 96 6936.470
## 100 2400.814
## 101 2333.107
## 107 5891.506
## 112 14653.651
## 113 10456.528
## 120 6530.231
## 127 2419.984
## 129 6936.470
## 130 14585.945
## 136 5940.042
## 141 15127.597
## 147 2468.520
## 158 14131.169
## 160 10407.992
## 170 2671.640
## 171 6259.404
## 177 18173.709
## 179 9663.219
## 180 6394.817
## 181 10253.408
## 185 2284.571
## 194 6530.231
## 197 2603.933
## 203 6530.231
## 208 6733.350
## 211 14315.118
## 215 2265.400
## 219 2265.400
## 223 5688.386
## 228 2197.694
## 240 10524.234
## 248 2129.987
## 254 2062.281
## 255 9953.217
## 258 6123.991
## 261 1946.038
## 263 2468.520
## 265 2333.107
## 266 2333.107
## 267 13792.636
## 269 6007.749
## 274 6327.111
## 276 18444.535
## 279 5988.578
## 283 6394.817
## 285 2400.814
## 288 2129.987
## 289 9730.926
## 290 2129.987
## 296 2265.400
## 301 6075.455
## 302 9663.219
## 304 6259.404
## 309 6549.401
## 312 14382.825
## 317 2149.158
## 319 6123.991
## 321 1897.502
## 323 2419.984
## 325 14315.118
## 326 1994.574
## 328 6191.698
## 329 6752.521
## 335 18212.050
## 341 2333.107
## 344 1810.625
## 346 14315.118
## 354 5756.093
## 355 10795.061
## 358 2333.107
## 362 1810.625
## 366 15146.768
## 368 6191.698
## 373 10678.818
## 378 6530.231
## 381 17970.589
## 393 1829.796
## 399 6094.626
## 401 6327.111
## 405 2333.107
## 407 6462.524
## 409 14992.184
## 411 2333.107
## 420 9914.875
## 423 6394.817
## 426 10456.528
## 431 5920.871
## 443 2265.400
## 450 5891.506
## 451 6259.404
## 459 2265.400
## 461 2284.571
## 462 2942.466
## 476 6346.282
## 481 5988.578
## 488 2265.400
## 496 14856.771
## 498 2013.745
## 499 6733.350
## 500 5891.506
## 519 6259.404
## 526 11085.058
## 534 5823.800
## 539 2333.107
## 540 6191.698
## 542 2874.760
## 552 2333.107
## 558 2333.107
## 570 14382.825
## 573 5872.335
## 574 6259.404
## 575 5988.578
## 576 6056.284
## 589 2468.520
## 592 6665.644
## 593 2081.451
## 594 2603.933
## 598 6936.470
## 599 5988.578
## 601 1626.676
## 602 5823.800
## 617 2468.520
## 618 6191.698
## 620 1626.676
## 622 6752.521
## 625 2284.571
## 629 10611.112
## 630 9847.168
## 632 10185.701
## 633 6868.764
## 636 1878.332
## 640 2265.400
## 642 6597.937
## 658 14469.702
## 664 2129.987
## 672 5988.578
## 673 5736.922
## 676 18309.122
## 693 6530.231
## 697 14266.583
## 700 18241.415
## 701 1994.574
## 705 2400.814
## 709 2265.400
## 711 9847.168
## 715 9546.977
## 716 1994.574
## 718 6259.404
## 721 9914.875
## 727 2419.984
## 728 2081.451
## 733 1810.625
## 743 6259.404
## 747 2197.694
## 748 6346.282
## 749 2333.107
## 769 6394.817
## 771 6007.749
## 779 2032.916
## 780 2197.694
## 785 5485.267
## 786 13502.639
## 790 2062.281
## 794 10388.821
## 795 5688.386
## 797 14315.118
## 803 14315.118
## 804 9847.168
## 806 10253.408
## 810 2333.107
## 811 6026.919
## 814 18376.829
## 824 1878.332
## 827 9914.875
## 831 5823.800
## 833 2333.107
## 838 6259.404
## 840 18512.242
## 841 1926.867
## 844 9914.875
## 847 1994.574
## 850 2284.571
## 852 2603.933
## 853 6259.404
## 856 1994.574
## 858 9730.926
## 859 2400.814
## 866 9982.582
#Find MSPE
MSPE=data.frame(Observed=test$MonthlyIncome, Predicted=model1_preds)
MSPE$Residual=MSPE$Observed-MSPE$Predicted
MSPE$SquaredResidual=MSPE$Residual^2
#MSPE
mean(MSPE$SquaredResidual)
## [1] 1930736
#The cross-validation yeielded a very acceptable Root MSPE of 1,311--This fits our requirements
#Use the model to predict for the data set with no income figures
#Predict for No Salary CSV
#Reset Datasets so they are same length
#work=read.csv("C:/Users/seans/Desktop/DDS/Unit 14 and 15 Case Study 2/CaseStudy2-data.csv", header=TRUE, sep=",", stringsAsFactors = TRUE)
#Upload No Salary CSV
#Case2PredictionsSeanMcWhirter=read.csv("C:/Users/seans/Desktop/DDS/Unit 14 and 15 Case Study 2/CaseStudy2CompSetNoSalary.csv", header=TRUE, sep=",", stringsAsFactors = TRUE)
#Case2PredictionsSeanMcWhirter$Attrition <- as.integer(Case2PredictionsSeanMcWhirter$Attrition)
#Case2PredictionsSeanMcWhirter$JobRole <- as.integer(Case2PredictionsSeanMcWhirter$JobRole)
#Case2PredictionsSeanMcWhirter$OverTime <- as.integer(Case2PredictionsSeanMcWhirter$OverTime)
#Case2PredictionsSeanMcWhirter$BusinessTravel <- as.integer(Case2PredictionsSeanMcWhirter$BusinessTravel)
#Case2PredictionsSeanMcWhirter$Department <- as.integer(Case2PredictionsSeanMcWhirter$Department)
#Case2PredictionsSeanMcWhirter$EducationField <- as.integer(Case2PredictionsSeanMcWhirter$EducationField)
#Case2PredictionsSeanMcWhirter$MaritalStatus <- as.integer(Case2PredictionsSeanMcWhirter$MaritalStatus)
#Case2PredictionsSeanMcWhirter$OverTime <- as.integer(Case2PredictionsSeanMcWhirter$OverTime)
#Case2PredictionsSeanMcWhirter$Gender <- as.integer(Case2PredictionsSeanMcWhirter$Gender)
#Use model to make predictions
#model1_fit=lm(MonthlyIncome~JobLevel+TotalWorkingYears+BusinessTravel, data=train)
#Predictions=predict(model1_fit, newdata=Case2PredictionsSeanMcWhirter)
#Case2PredictionsSeanMcWhirter<-data.frame(ID=Case2PredictionsSeanMcWhirter$ID, Predicted_Income=Predictions)
#Write predicitons to CSV for submission
#write.csv(Case2PredictionsSeanMcWhirter, file="Case2Predictions_SeanMcWhirter.csv", row.names = FALSE)